SlideShare ist ein Scribd-Unternehmen logo
1 von 8
Downloaden Sie, um offline zu lesen
ISSN: 2278 – 1323
International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
Volume 2, No 5, May 2013
1749
www.ijarcet.org

Abstract— IIR Band-stop filter is recursive in nature i.e. the
present output sample depends on the past input sample, past
output samples and the present input samples. If the past and
present inputs and output are varied the resulting present
output will be changed. The Band-stop filter rejects one band of
frequency and allows all other frequency band to pass. In this
paper, the performance analysis of Band-stop filter is done using
the Modified Analog-to-Digital Mapping technique and
simulated in Matlab7. The response of the filter can be modified
by changing the value of the components. The coefficients that
are essentially required to design a IIR Digital Band-stop filter,
are also calculated using the above mentioned algorithm and
finally the magnitude response and the stability of the filter are
determined using Matlab7 with satisfying results. The pole-zero
plot of a system, filter in this case, determines the stability of the
predesigned IIR Band-stop filter.
Index Terms— IIR filter, Digital filter, Band-stop filter, filter
design, Modified Analog-to-Digital Mapping algorithm,
coefficient.
I. INTRODUCTION
Filter is a very essential device in signal processing. Actually
filter circuit is applied in a system for the filtration of the
input signal from noise and producing the output with least
amount of noise. In Digital Signal Processing (DSP), there are
mainly two types of filter available depending upon the
impulse response and they are the Infinite Impulse
Response(IIR) filter and another is the Finite Impulse
Response(FIR) filter[1][2][12][26][27]. IIR filter is recursive
type filter as the present output is dependent on the present
input, past inputs and past outputs. The response of the IIR
filter is of infinite duration whereas the response of FIR filter
is of finite duration. There are many types of filter available
for different applications. Band-stop filter is one of them and
plays an important role in signal processing and filtering
operation.
IIR Band-stop filter stops one specific band of frequency
and allows all other frequency bands to pass. With a small
variation of IIR Band-stop filter, the Notch filter can also be
Authors:
Subhadeep Chakraborty, is presently assistant professor in West Bengal
University of Technology, resides in Kolkata, West Bengal, India.
Abhirup Patra, is presently pursuing B.Tech degree from West Bengal
University of Technology resides in Kolkata, West Bengal, India.
designed which is capable of eliminating only one frequency
if proper specification is chosen [12][26][28][30].
Filter is of two types, analog filter and digital filter. The
analog filter can be designed by resistors, capacitors,
inductors and voltage source [7][12][28][29]. If an analog
filter is constructed by using passive elements such as the
resistors, capacitors and inductors, this analog filter is known
to as the passive filter, and if the same is designed by active
elements such as the voltage source along with the passive
elements, the designed filter is known to as the active
filters[28][29]. In our practical use, the filter is generally
constructed by the OpAmp along with the passive and active
elements. The reason behind this design is that the OpAmp
shows the recursive effect which is necessary for an IIR filter
[7][15].
There are various methods available to design the digital
filter. The digital filter can be designed after constructing the
analog filter and with the application of analog to digital
mapping technique with the introduction of frequency
transformation[1][3][7][22][27][31]. The basic target to
design the digital filter is to obtain the transfer function in
digital domain so that one can understand the stability of the
filter. The digital filter have several characteristics like high
accuracy, sensitivity, smaller physical size, reduced
sensitivity to component tolerance and
drift[1][2][3][7][8][12][14].
In this paper, the design and performance analysis of IIR
Digital Band-stop filter is shown using the Modified
Analog-to-Digital Mapping Technique(MADM) on a
predesigned IIR Analog Band-stop filter[3][12].
II. TYPES OF FILTERS
There are basically two types of filter as follows:
1. Infinite Impulse Response(IIR) filter
2. Finite Impulse Response(FIR) filter
Filter can be classified into two types, depending upon the
construction as follows:
1. Analog filter
2. Digital filter
There are various types of filters we can have for different
applications. In this application view, the filter can be
categorized as follows[18][21][26][27][31]:
1. Low pass filter
2. High pass filter
3. Band pass filter
4. Band stop or Notch filter
5. All pass filter
6. Comb filter
Subhadeep Chakraborty, Abhirup Patra
Performance Analysis of IIR Digital Band
Stop Filter
ISSN: 2278 – 1323
International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
Volume 2, No 5, May 2013
1750
All Rights Reserved © 2013 IJARCET
The Band-stop filter is applied to reject one specific
frequency band. Notch filter is the variation of Band-stop
filter and used to stop only one frequency[5][6][30]. In the
next section, the design of IIR Band-stop is shown.
III. DESIGN OF ANALOG IIR BANDSTOP FILTER
As discussed earlier, the band-stop filter can be designed
by passive elements, passive and active elements or with
OpAmp chip. The design of Twin-T analog band-stop filter is
shown in Fig.1 using the passive components like Inductor
and the capacitors[12][28][29].
Fig.1 Twin-T passive Band stop filter(RC)
The parameter required for designing the T-section Band stop
filter is given below[28][29],
1 1 2 2
1 1
2 2
mf
L C L C 
  …. .(1)
1/ 1 2 / 2kR L C L C  ….(2)
1
2 1
1
2 ( )k
C
R  


….(3)
2 1
1
2 1
2 ( )kR
L
 
 

 ….(4)
2 1
2
2 1
2 ( )
k
C
R
 
 

 ….(5)
2
2 12( )
kR
L
 


….(6)
Where,
kR = Nominal characteristic impedance
mf = Geometric mean of two cut-off
frequencies
1 = Low cut-off frequency
2 = High cut-off frequency
This filter can also be design in form of RC circuit i.e. the
construction is done using the resistors and the capacitors.
Now, the construction of Band-stop filter using OpAmp
is shown below in Fig.2[12][28][29].
Fig.2 Active IIR Band stop filter using OpAmp
The circuit shown in Fig.2 is constructed using OpAmp
chip and hence shows the recursive effect, essential to design
the IIR filter. Hence the circuit is for IIR Band-stop filter
which stops a specified band of frequency. The proper design
of IIR Digital Band-stop filter can be done by applying
Modified Analog-to-Digital Mapping Technique, an
algorithm which efficiently design the digital filter and hence
the IIR Digital Band-stop filter in this case.
IV. DESIGN OF DIGITAL IIR BANDSTOP FILTER
An analog Band-stop filter can be constructed using the
passive components such as the resistor, capacitor and
inductor or by using OpAmp chip. The stability of the
constructed filter can be determined by obtaining the transfer
function. If the transfer function of the analog filter can be
mapped into its equivalent digital filter i.e. the transfer
function will be mapped from s-domain to digital or z-domain,
the stability can easily be found out. The corresponding
pole-zero plot also determines the stability of that filter.
Now, to design a digital filter, there are many algorithms
are available which can design the digital filter in different
ways. The Modified Analog-to-Digital Mapping Algorithm is
such a algorithm which provides with the mapping
fundamentals for suitable design of the digital filter. This
algorithm also helpful to evaluate the performance of the
designed digital filter.
A. Passive component value modification
The analog filter is designed using the passive
components, the value can be modified. After each
modification, the output values will also be changed because
if the values of the passive components will be changed, the
stopband frequency, the passband frequency, the stopband
ripple and the passband ripples will be
modified[1][3][9][12][16].
Sometimes it is seen that, after successful modification of
the values of the passive components, the order of the filter
will remain unchanged. This indicates that, though the values
are changed, the order will remain unchanged by a little bit
variation of the passband and stopband ripple or with the
variation of the passband or stopband frequency. After
crossing the limit of the modification, the order will be
changed. That means, for a set of values of modification, the
order remain unchanged. So, there obviously a set of
ISSN: 2278 – 1323
International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
Volume 2, No 5, May 2013
1751
www.ijarcet.org
Re-Specify
Re-Calculate
Re-realize
passband frequency and stopband frequency as well as
stopband ripple and passband ripple for which the order of the
filter will remain fixed[7][17][26][31].
Now, within the specified set of frequencies and ripples,
the magnitude response will be varied. The magnitude
response we can get for the highest limiting condition of the
values of the above mentioned factors, will be considered as
the perfect designed filter for the specified order of the filter.
B. Modified Analog-to-Digital Mapping Algorithm
This algorithm efficiently design the IIR Digital filter.
Hence in this paper, the design methodology of IIR Band-stop
filter is discussed. This algorithm is basically used for
frequency transformation. It is also essentially required for
s-plane to z-plane mapping i.e. analog-to-digital mapping
technique through which the digital filter can be designed
from an analog filter[1][12][19][21][25][26][27].
Fig 3 Modified Analog-to-Digital Mapping Algorithm
This algorithm basically used design the transfer function in
digital domain of a filter that is previously designed in the
analog domain. After successful calculation of transfer
function in digital domain i.e. in z-plane, the digital filter can
be designed with predefined specifications.
The performance of a digital filter can be enhanced by
modifying the values of resistor and capacitors. The response
of a filter of a particular order can be enhanced or modified
by varying the values of passive components, i.e. resistors
and capacitors.
C. Design of analog IIR Band-stop filter by TinaPro9
The analog IIR Band-stop filter is designed in TinaPro
simulation tool. With help of this design, the digital IIR
Band-stop filter can be designed and with the variation of the
values of passive components, the modified digital filter can
be constructed. The design is shown in Fig 4.
Fig 4. IIR Band-stop filter design using TinaPro9 simulation
tool
D. Transfer function of IIR Band-stop filter in digital
plane
The transfer function of IIR Digital Band-stop filter can be
given by[1][12][13][20][23][24][26][27][31],
0
1
( )
( )
1 ( )
M
n
n
N
n
n
b n z
H z
a n z








…(7)
1 2
1 2
( ) (0) (1) (2) ....... ( )
( ) 1 (1) (2) .............. ( )
M
N
B z b b z b z b M z
A z a z a z a N z
  
  
   
 
   
….(8)
Where,
H(z) = Transfer function and Z-transform of
impulse response h(n)
b(n) = Numerator coefficient
a(n) = Denominator coefficient
Now, from equation (7) and (8), it is found that the
transfer function H(z) deals with the numerator coefficient
b(n) and denominator coefficient a(n)[2][4][10][11][12]. If
the value of the coefficients can be determined, the proper
design of digital filter is possible. The value of the
Start
Design the Analog filter
Obtain the transfer function in s-plane
Obtain coefficients in s-plane
Obtain relationship between s-plane and z-plane
Set suitable cutoff, passband and stopband frequency
Apply frequency transformation
Apply analog to digital conversion or mapping
Obtain transfer function in z-plane
Calculate filter coefficient
Realize filter structure
Analysis of digital filter
Implementation of digital filter
Stop
Specify the values of components
ISSN: 2278 – 1323
International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
Volume 2, No 5, May 2013
1752
All Rights Reserved © 2013 IJARCET
coefficients is dependent upon the order of the filter. The
order of the filter is again determined by the values of the
passive components.
So, if the value of the passive components is will be
modified maintaining the proper order of the filter, the
performance of the filter with same order will be modified
either increased or decreased. So, the perfect specification
must be choosen so that the high performance can be
obtained.
E. Performance modification using modified values of
passive components
The passive components of the circuit shown in Fig.4 are
the capacitor and the resistor where,
R1=R2=R
C2=C3=C
C1=2C; R3=R/2
If the values will be modified accordingly to obtain the
valus of the stopband frequency, the modified result such as
the magnitude response, impulse response, the pole-zero plot
can be well observed.
Let we start the calculation of the values of the passive
components with two fixed values of the capacitors, one for
C=470 nF and second for C=100 nF . So it is clear that if the
value of the capacitance will be fixed, certainly the value of
the resistor will be changed. So, the response will be
modified.
Let we concider the passband frequency will be ωp=400
rad/sec. The stopband frequency will be determined on the
basis of the passive component values. If the values will be
changed , the corresponding stopband frequency will also be
changed by maintaining the same order of the filter. The
following tables, Table-1 and Table-2 describes the values of
the stopband frequency and the notch frequency of a same
ordered filter.
TABLE-1
Value of
capacitor
(nF)
Value of resistor
(calculated)
(KΩ)
Roundoff
Value of
resistance
(available)
(KΩ)
Passband
frequency
ωp
(rad/sec)
Stopband
frequency
ωs
(rad/sec)
Notch
frequency
ωn
(rad/sec)
Order of the
Bandstop
filter
470 2.300 2.4 400 1450 925 10
470 2.360 2.4 400 1400 900 10
470 2.430 2.4 400 1350 875 10
470 2.520 2.7 400 1300 850 10
470 2.570 3.0 400 1250 825 10
470 2.650 3.0 400 1200 800 10
470 2.661 3.0 400 1199 799.5 10
470 2.662 3.0 400 1198 799 10
TABLE-2
Value of
capacitor
(nF)
Value of
resistor
(calculated)
(KΩ)
Roundoff
Value of
resistance
(available)
(KΩ)
Passband
frequency
ωp
(rad/sec)
Stopband
frequency
ωs
(rad/sec)
Notch
frequency
ωn
(rad/sec)
Order of the
Bandstop
filter
100 10.800 11 400 1450 925 10
100 11.110 11 400 1400 900 10
100 11.420 11 400 1350 875 10
100 11.760 12 400 1300 850 10
100 12.120 13 400 1250 825 10
100 12.500 13 400 1200 800 10
100 12.507 13 400 1199 799.5 10
100 12.515 13 400 1198 799 10
ISSN: 2278 – 1323
International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
Volume 2, No 5, May 2013
1753
www.ijarcet.org
From the above two tables, it is clear that to
construct a bandstop filter of order 10 with passband
frequency ωp=400 rad/sec , there are some set of
resistance, that will be used to vary the the Notch
frequency as well as the stopband frequency keeping
the same order of the filter. The set of resistance are
given below in Table-3 and Table-4 with there
corresponding preferrable notch frequency.
TABLE-3
Value of capacitor
(nF)
Value of Resistance (KΩ) Notch frequency
ωn(rad/sec)
Order of Bandstop
Filter
470 2.4 925 10
470 2.7 850 10
470 3.0 799 10
TABLE-4
Value of capacitor
(nF)
Value of Resistance (KΩ) Notch frequency
ωn(rad/sec)
Order of Bandstop
Filter
100 11 925 10
100 12 850 10
100 13 799 10
So, in order to evaluate the performance of the Bandstop
filter, three frequency can be selected that is ωn=925 rad/sec,
ωn=850 rad/sec and ωn=799 rad/sec. Among those
frequencies, ωn=925 rad/sec is the first frequency of
order=10 and after that frequency the order will be decreased
and ωn=799 rad/sec is the last frequency for the Bandstop
filter of order=10 and before that frequency the order of the
filter will be increased for ωp=400 rad/sec.
V. SIMULATION
The simulation results for the Bandstop filter of order=10
with notch frequency ωn=925 rad/sec, ωn=850 rad/sec and
ωn=799 rad/sec respectively are shown below from Fig.5 to
Fig. 13. The simulation results include the magnitude
response, impulse response and the pole-zero plot which
determines the stability and performance of the
preconstructed Bandstop filter.
A. Simulation for ωn=925 rad/sec
I. Magnitude response
Fig.5 Magnitude response
II. Impulse response
Fig.6 Impulse response
III.Pole-Zero plot
Fig.7 Pole-Zero plot
ISSN: 2278 – 1323
International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
Volume 2, No 5, May 2013
1754
All Rights Reserved © 2013 IJARCET
B. Simulation for ωn=850 rad/sec
I. Magnitude response
Fig.8 Magnitude response
II. Impulse response
Fig.9 Impulse response
III. Pole-Zero plot
Fig.10 Pole-Zero plot
C. Simulation for ωn=799 rad/sec
I. Magnitude response
Fig.11 Magnitude response
II. Impulse response
Fig.12 Impulse response
III. Pole-Zero plot
Fig.13 Pole-Zero plot
ISSN: 2278 – 1323
International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
Volume 2, No 5, May 2013
1755
www.ijarcet.org
VI. CONCLUSION
The simulations, performed in Matlab7(R2008a), shown
above from Fig.5 to Fig.13 are showing the responses of same
the Bandstop filter with modified value of its passive
components. Particularly the pole-zero plot shows that the
designed filter is stable as all the poles and the zeros are inside
the unit circle. Now if we observe Fig.5, Fig.8 and Fig.11
properly, it can be said that the magnitude response of Fig.11
is much more better than that of other two. The pole-zero plot
of Fig.13 is also perfectly stable with respect to the pole-zero
plot in Fig.7 and Fig.10. So, it is clear that using the
parameters C=470 nF and R=3 KΩ or C=100 nF and R=13
KΩ is the perfect one when the design is for 10th
order
Bandstop filter. So, to design a Digital Bandstop filter from a
predesigned Analog Bandstop filter by applying the Modified
Analog-to-Digital Mapping Technique, the above mentioned
specification can be used to achieve far good result in
performance and achieving the goal of good stability.
VII. ACKNOWLEDGEMENTS
In this paper, the design methodology of a Bandstop filter is
shown where the digital filter is constructed from a
predesigned analog filter. The Modified Analog-to-Digital
Mapping Technique is introduce for analog to digital
mapping of a bandstop filter to increase the performance as
well as to descrease the computational time for the design.
This is reflected in the simulations. The idea of the paper is
taken from the list of references given below.
REFERENCES
[1] Ranjit Singh and Sandeep K. Arya, ―Determining
Optimum coefficients of IIR Digital Filter using Analog to
Digital Mapping,‖ International Journal of Advancements in
Computer Science and Information Technology, Vol. 01,No.
01, September 2011 pp.19-23.
[2] Subhadeep Chakraborty, Krishna Kumar Jha, Abhirup
Patra, ― Design of IIR Digital Highpass Butterworth Filter
using Analog to Digital Mapping Technique‖, International
Journal of Computer Applications (0975 – 8887) Volume 52
– No. 7, August 2012
[3] Ranjit Singh Chauhan and Sandeep Kumar Arya, ―
Determine Optimal Coefficients of IIR Digital Filters using
Simulated Annealing‖, International Journal of Computer
Applications (0975 – 8887) Volume 43– No.10, April 2012
36
[4] Saurabh Singh Rajput, Dr. S.S. Bhadauria,―Comparison
of Band-stop FIR Filter using Modified Hamming Window
and Other Window functions and Its Application in Filtering a
Mutitone Signal‖, International Journal of Advanced
Research in Computer Engineering & Technology
(IJARCET) Volume 1, Issue 8, October 2012.
[5] Surapum Yamman, Watcharapong Hinjit, Weerasak
Ussawongaraya, Payao Thoopluang, Kobchai ejhan,―Design
and implementation of IIR Multiple Notch Filter with
Modified Pole-Zero Placement Algorithm‖,Yhe Journal of
KMITNB,Vol. 15, No. 2, Apr-Jun 2005.
[6] Suhash Chandra Dutta Roy, Balbir Kumar and Shail Bala
Jain, ―Fir Notch Filter Design-A Review‖, Facta Universitatis
(NIS),Electronics and Energetics vol. 14, No. 3, December
2001, 295-327
[7] Subhadeep Chakraborty, Subhasish Maitra,‖ Design and
Determination of Optimum Coefficients of IIR Digital
Highpass Filter using Analog to Digital Mapping Technique‖,
International Journal of Computer Applications (0975 –
8887) Volume 58– No.7, November 2012
[8] Zhengzheng Wu , Yonghyun Shim,, Mina Rais-Zadeh,
―Miniaturized UWB Filters Integrated With Tunable Notch
Filters Using a Silicon-Based Integrated Passive Device
Technology‖, IEEE Transactions On Microwave Theory And
Techniques.
[9] Nitesh kumar, namarta sahayam, ― Design of Narrow
Band Reject Filter‖, International Journal of Scientific &
Engineering Research, Volume 2, Issue 12, December-2011 1
ISSN 2229-5518
[10] Haiwen Liu, Reinhard H. Knoechel, and Klaus F.
Schuenemann, ―Miniaturized Bandstop Filter Using Meander
Spurline and Capacitively Loaded Stubs‖, ETRI Journal,
Volume 29, Number 5, October 2007
[11] Samarjeet Singh, Uma Sharma, ―MATLAB Based
Digital IIR Filter Design‖, International Journal of
Electronics and Computer Science Engineering, ISSN-
2277-1956/V1N1-74-83.
[12] Subhadeep Chakraborty, ―Design and Realization of IIR
Digital Band Stop Filter Using Modified Analog to Digital
Mapping Technique‖, International Journal of Science,
Engineering and Technology Research, Volume 2, Issue 3,
March 2013.
[13] K.Ramesh, A.Nirmalkumar, and G.Gurusamy, ―Design
of Digital IIR filters with the Advantages of Model Order
Reduction Technique‖, International Journal of Electrical and
Computer Engineering, 4:14 2009.
[14] Xi Zhang, ―Design of maximally flat IIR filters with flat
group delay responses‖, Elsavier, Signal Processing 88
(2008) 1792–1800.
[15] Ranjit Kaur, Manjeet Singh Patterh, J.S. Dhillon, ―
Design of Optimal L1 Stable IIR Digital Filter using Hybrid
Optimization Algorithm‖, International Journal of Computer
Applications (0975 – 8887) Volume 38– No.2, January 2012.
[16] W.-S. Lu, ―Design of Stable IIR Digital Filters With
Equiripple Passbands and Peak-Constrained Least-Squares
Stopbands‖, IEEE Transactions On Circuits And
Systems—II: Analog And Digital Signal Processing, Vol. 46,
No. 11, November 1999.
[17] Manish Kansal, Vijay Kumar, Dinesh Arora, Hardeep
Singh Saini, ―Designing & Implementation of Digital Filter
for removal of Power Supply Noise‖, International Journal of
Soft Computing and Engineering (IJSCE) ISSN: 2231-2307,
Volume-1, Issue-4, September 2011.
[18] B.A. Shanoi, ―Introduction to Digital Signal Processing
and Filter design‖, Willey Interscience, 2006.
[19] Li Tan,―Digital Signal Processing-Fundamentals and
Applications‖, Academic Press, Elsavier, ISBN:
978-0-12-374090-8, 2008.
[20] Gerard Blanchet and Maurice Charbit, ―Digital Signal
and Image Processing using Matlab‖, ISTE Ltd., © HERMES
ISSN: 2278 – 1323
International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
Volume 2, No 5, May 2013
1756
All Rights Reserved © 2013 IJARCET
Science Europe Ltd, 2001,© ISTE Ltd, 2006, ISBN-13:
978-1-905209-13-2,ISBN-10: 1-905209-13-4
[21] J.S. Chitode, ―Digital Signal Processing‖, Technical
Publication, Pune, ISBN:9788184314243.
[22] Dag Stranneby, ―Digital Signal Processing-DSP &
Application‖, Butterworth-Heinemann,Oxford,
ISBN:0750648112, 2001.
[23] Michael Weeks, ―Digital Signal Processing Using
MATLAB and Wavelets‖, Infinity Science Press, Hingham,
Massachusetts, ISBN: 0-9778582-0-0, 2007.
[24] Taan S. ElAli, ―Discrete Systems and Digital Signal
Processing with Matlab‖, CRC Press,ISBN 0-203-487117,
2004.
[25] Bob Meddins, ―Introduction to Digital Signal
Processing‖, Essential Electronics Series, Newnes,
Butterworth-Heinemann, Oxford, ISBN: 0750650486, 2000.
[26] Proakis, J. G. and Manolakis, D. G. 2007. Digital Signal
Processing: Principles, Algorithms, and Applications.
Pearson Education Ltd
[27] P. Ramesh Babu,‖Digital Signal Processing‖, Fourth
edition, Scitech Publication(India) Pvt. Ltd, Chennai,2008.
[28] D.Chattopadhyaya, P.C. Rakshit, ―Fundamentals Of
Electric Circuit Theory‖, ISBN: 8121900085
[29] A. Sudhakar and Shyammohan S. Palli, ―Circuits and
Network‖, Fourth Edition, Tata McGraw Hill Education
Private Limited, New Delhi, 2011.
[30] Ramakant A. Gayakwad, ―Opamp and Linear Integrated
Circuit‖, Fourth Edition, PHI Learning Private Limited, New
Delhi, 2010.
[31] Andreas Antoniou, ―Digital Signal Processing : Signals,
Systems and Filters‖, Tata McGraw-Hill Education,
ISBN-10: 0070636338, 2006
Authors
Subhadeep Chakraborty, born in 1986,
is Assistant Professor in Calcutta
Institute of Technology. He received the
B.Tech degree from Saroj Mohan
Institute of Technology, WBUT,India
and M.Tech degree from Kalyani Govt.
Engineering College, WBUT, India in
Electronics and Communication
Engineering in 2008 and 2010.The
author has been teaching in Calcutta Institute of Technology for 2
years. His primary research interest includes Digital Signal
Processing, Embedded System and Microprocessor.
cloud computing, virtualization of Network.
Abhirup Patra is pursuing his B.Tech
degree from Calcutta Institute of
Technology and this is his final year.
His basic interest includes Digital
Signal Processing, Control System.

Weitere ähnliche Inhalte

Was ist angesagt?

FPGA Implementation of Optimized CIC Filter for Sample Rate Conversion in Sof...
FPGA Implementation of Optimized CIC Filter for Sample Rate Conversion in Sof...FPGA Implementation of Optimized CIC Filter for Sample Rate Conversion in Sof...
FPGA Implementation of Optimized CIC Filter for Sample Rate Conversion in Sof...idescitation
 
IRJET- Decimator Filter for Hearing Aid Application Based on FPGA
IRJET-  	  Decimator Filter for Hearing Aid Application Based on FPGAIRJET-  	  Decimator Filter for Hearing Aid Application Based on FPGA
IRJET- Decimator Filter for Hearing Aid Application Based on FPGAIRJET Journal
 
Design and Implementation of Digital Chebyshev Type II Filter using XSG for N...
Design and Implementation of Digital Chebyshev Type II Filter using XSG for N...Design and Implementation of Digital Chebyshev Type II Filter using XSG for N...
Design and Implementation of Digital Chebyshev Type II Filter using XSG for N...IJERA Editor
 
IRJET- Designing of Basic Types of Filters using Standard Tool
IRJET-  	  Designing of Basic Types of Filters using Standard ToolIRJET-  	  Designing of Basic Types of Filters using Standard Tool
IRJET- Designing of Basic Types of Filters using Standard ToolIRJET Journal
 
Design of iir digital highpass butterworth filter using analog to digital map...
Design of iir digital highpass butterworth filter using analog to digital map...Design of iir digital highpass butterworth filter using analog to digital map...
Design of iir digital highpass butterworth filter using analog to digital map...Subhadeep Chakraborty
 
Digital Signal Processing Summary
Digital Signal Processing SummaryDigital Signal Processing Summary
Digital Signal Processing Summaryop205
 
Realization of high order iir digital bandstop filter using domain transfer a...
Realization of high order iir digital bandstop filter using domain transfer a...Realization of high order iir digital bandstop filter using domain transfer a...
Realization of high order iir digital bandstop filter using domain transfer a...Subhadeep Chakraborty
 
Convolution final slides
Convolution final slidesConvolution final slides
Convolution final slidesramyasree_ssj
 
DIGITAL SIGNAL PROCESSOR OVERVIEW
DIGITAL SIGNAL PROCESSOR OVERVIEWDIGITAL SIGNAL PROCESSOR OVERVIEW
DIGITAL SIGNAL PROCESSOR OVERVIEWsathish sak
 
Review On Design Of Digital FIR Filters
Review On Design Of Digital FIR FiltersReview On Design Of Digital FIR Filters
Review On Design Of Digital FIR FiltersIRJET Journal
 
A 15 bit third order power optimized continuous time sigma delta modulator fo...
A 15 bit third order power optimized continuous time sigma delta modulator fo...A 15 bit third order power optimized continuous time sigma delta modulator fo...
A 15 bit third order power optimized continuous time sigma delta modulator fo...eSAT Publishing House
 
Sigma delta adc
Sigma delta adcSigma delta adc
Sigma delta adcdimitar53
 
10.1.1.399.4069
10.1.1.399.406910.1.1.399.4069
10.1.1.399.4069Cut Lilis
 
Filtration and synthesis of different types of human voice signals
Filtration and synthesis of different types of human voice signalsFiltration and synthesis of different types of human voice signals
Filtration and synthesis of different types of human voice signalsAlexander Decker
 

Was ist angesagt? (17)

FPGA Implementation of Optimized CIC Filter for Sample Rate Conversion in Sof...
FPGA Implementation of Optimized CIC Filter for Sample Rate Conversion in Sof...FPGA Implementation of Optimized CIC Filter for Sample Rate Conversion in Sof...
FPGA Implementation of Optimized CIC Filter for Sample Rate Conversion in Sof...
 
IRJET- Decimator Filter for Hearing Aid Application Based on FPGA
IRJET-  	  Decimator Filter for Hearing Aid Application Based on FPGAIRJET-  	  Decimator Filter for Hearing Aid Application Based on FPGA
IRJET- Decimator Filter for Hearing Aid Application Based on FPGA
 
Design and Implementation of Digital Chebyshev Type II Filter using XSG for N...
Design and Implementation of Digital Chebyshev Type II Filter using XSG for N...Design and Implementation of Digital Chebyshev Type II Filter using XSG for N...
Design and Implementation of Digital Chebyshev Type II Filter using XSG for N...
 
IRJET- Designing of Basic Types of Filters using Standard Tool
IRJET-  	  Designing of Basic Types of Filters using Standard ToolIRJET-  	  Designing of Basic Types of Filters using Standard Tool
IRJET- Designing of Basic Types of Filters using Standard Tool
 
Design of iir digital highpass butterworth filter using analog to digital map...
Design of iir digital highpass butterworth filter using analog to digital map...Design of iir digital highpass butterworth filter using analog to digital map...
Design of iir digital highpass butterworth filter using analog to digital map...
 
Digital Signal Processing Summary
Digital Signal Processing SummaryDigital Signal Processing Summary
Digital Signal Processing Summary
 
252 256
252 256252 256
252 256
 
F0213137
F0213137F0213137
F0213137
 
Realization of high order iir digital bandstop filter using domain transfer a...
Realization of high order iir digital bandstop filter using domain transfer a...Realization of high order iir digital bandstop filter using domain transfer a...
Realization of high order iir digital bandstop filter using domain transfer a...
 
Digital filter structures
Digital filter structuresDigital filter structures
Digital filter structures
 
Convolution final slides
Convolution final slidesConvolution final slides
Convolution final slides
 
DIGITAL SIGNAL PROCESSOR OVERVIEW
DIGITAL SIGNAL PROCESSOR OVERVIEWDIGITAL SIGNAL PROCESSOR OVERVIEW
DIGITAL SIGNAL PROCESSOR OVERVIEW
 
Review On Design Of Digital FIR Filters
Review On Design Of Digital FIR FiltersReview On Design Of Digital FIR Filters
Review On Design Of Digital FIR Filters
 
A 15 bit third order power optimized continuous time sigma delta modulator fo...
A 15 bit third order power optimized continuous time sigma delta modulator fo...A 15 bit third order power optimized continuous time sigma delta modulator fo...
A 15 bit third order power optimized continuous time sigma delta modulator fo...
 
Sigma delta adc
Sigma delta adcSigma delta adc
Sigma delta adc
 
10.1.1.399.4069
10.1.1.399.406910.1.1.399.4069
10.1.1.399.4069
 
Filtration and synthesis of different types of human voice signals
Filtration and synthesis of different types of human voice signalsFiltration and synthesis of different types of human voice signals
Filtration and synthesis of different types of human voice signals
 

Ähnlich wie 1749 1756

Performance analysis of iir digital band stop filter
Performance analysis of iir digital band stop filterPerformance analysis of iir digital band stop filter
Performance analysis of iir digital band stop filterSubhadeep Chakraborty
 
Design and realization of iir digital band stop filter using modified analog ...
Design and realization of iir digital band stop filter using modified analog ...Design and realization of iir digital band stop filter using modified analog ...
Design and realization of iir digital band stop filter using modified analog ...Subhadeep Chakraborty
 
IRJET-A Comparative Study of Digital FIR and IIR Band- Pass Filter
IRJET-A Comparative Study of Digital FIR and IIR Band- Pass FilterIRJET-A Comparative Study of Digital FIR and IIR Band- Pass Filter
IRJET-A Comparative Study of Digital FIR and IIR Band- Pass FilterIRJET Journal
 
PERFORMANCE ANALYSIS OF PLANAR BANDPASS FILTER WITH DIFFERENT ORDERS
PERFORMANCE ANALYSIS OF PLANAR BANDPASS FILTER WITH DIFFERENT ORDERSPERFORMANCE ANALYSIS OF PLANAR BANDPASS FILTER WITH DIFFERENT ORDERS
PERFORMANCE ANALYSIS OF PLANAR BANDPASS FILTER WITH DIFFERENT ORDERSIRJET Journal
 
FPGA Based Design of 32 Tap Band Pass FIR Filter Using Multiplier- Less Techn...
FPGA Based Design of 32 Tap Band Pass FIR Filter Using Multiplier- Less Techn...FPGA Based Design of 32 Tap Band Pass FIR Filter Using Multiplier- Less Techn...
FPGA Based Design of 32 Tap Band Pass FIR Filter Using Multiplier- Less Techn...IRJET Journal
 
Design of Variable Digital FIR Filter for Software Defined Radio Applications
Design of Variable Digital FIR Filter for Software Defined Radio ApplicationsDesign of Variable Digital FIR Filter for Software Defined Radio Applications
Design of Variable Digital FIR Filter for Software Defined Radio ApplicationsIRJET Journal
 
Design of Low Power Reconfigurable IIR filter with Row Bypassing Multiplier
Design of Low Power Reconfigurable IIR filter with Row Bypassing MultiplierDesign of Low Power Reconfigurable IIR filter with Row Bypassing Multiplier
Design of Low Power Reconfigurable IIR filter with Row Bypassing MultiplierIRJET Journal
 
Design of Area Efficient Digital FIR Filter using MAC
Design of Area Efficient Digital FIR Filter using MACDesign of Area Efficient Digital FIR Filter using MAC
Design of Area Efficient Digital FIR Filter using MACIRJET Journal
 
Digital Implementation of Costas Loop with Carrier Recovery
Digital Implementation of Costas Loop with Carrier RecoveryDigital Implementation of Costas Loop with Carrier Recovery
Digital Implementation of Costas Loop with Carrier RecoveryIJERD Editor
 
Implementation and Performance Analysis of Kaiser and Hamming Window Techniqu...
Implementation and Performance Analysis of Kaiser and Hamming Window Techniqu...Implementation and Performance Analysis of Kaiser and Hamming Window Techniqu...
Implementation and Performance Analysis of Kaiser and Hamming Window Techniqu...IJERA Editor
 
Design and Implementation of FIR Filter to Analyze Power Efficiency and Noise...
Design and Implementation of FIR Filter to Analyze Power Efficiency and Noise...Design and Implementation of FIR Filter to Analyze Power Efficiency and Noise...
Design and Implementation of FIR Filter to Analyze Power Efficiency and Noise...IRJET Journal
 
Performance Analysis and Simulation of Decimator for Multirate Applications
Performance Analysis and Simulation of Decimator for Multirate ApplicationsPerformance Analysis and Simulation of Decimator for Multirate Applications
Performance Analysis and Simulation of Decimator for Multirate ApplicationsIJEEE
 
Analysis of different FIR Filter Design Method in terms of Resource Utilizati...
Analysis of different FIR Filter Design Method in terms of Resource Utilizati...Analysis of different FIR Filter Design Method in terms of Resource Utilizati...
Analysis of different FIR Filter Design Method in terms of Resource Utilizati...ijsrd.com
 
Novel fpga design and implementation of digital up
Novel fpga design and implementation of digital upNovel fpga design and implementation of digital up
Novel fpga design and implementation of digital upeSAT Publishing House
 
Multi band, multi mode digital rf receiver front end module for m-wimax
Multi band, multi mode digital rf receiver front end module for m-wimaxMulti band, multi mode digital rf receiver front end module for m-wimax
Multi band, multi mode digital rf receiver front end module for m-wimaxeSAT Publishing House
 
Introduction to DSP.ppt
Introduction to DSP.pptIntroduction to DSP.ppt
Introduction to DSP.pptDr.YNM
 
IRJET- Filter Design for Educational Set Via Labview Software Program
IRJET- Filter Design for Educational Set Via Labview Software ProgramIRJET- Filter Design for Educational Set Via Labview Software Program
IRJET- Filter Design for Educational Set Via Labview Software ProgramIRJET Journal
 

Ähnlich wie 1749 1756 (20)

Performance analysis of iir digital band stop filter
Performance analysis of iir digital band stop filterPerformance analysis of iir digital band stop filter
Performance analysis of iir digital band stop filter
 
Design and realization of iir digital band stop filter using modified analog ...
Design and realization of iir digital band stop filter using modified analog ...Design and realization of iir digital band stop filter using modified analog ...
Design and realization of iir digital band stop filter using modified analog ...
 
IRJET-A Comparative Study of Digital FIR and IIR Band- Pass Filter
IRJET-A Comparative Study of Digital FIR and IIR Band- Pass FilterIRJET-A Comparative Study of Digital FIR and IIR Band- Pass Filter
IRJET-A Comparative Study of Digital FIR and IIR Band- Pass Filter
 
PERFORMANCE ANALYSIS OF PLANAR BANDPASS FILTER WITH DIFFERENT ORDERS
PERFORMANCE ANALYSIS OF PLANAR BANDPASS FILTER WITH DIFFERENT ORDERSPERFORMANCE ANALYSIS OF PLANAR BANDPASS FILTER WITH DIFFERENT ORDERS
PERFORMANCE ANALYSIS OF PLANAR BANDPASS FILTER WITH DIFFERENT ORDERS
 
FPGA Based Design of 32 Tap Band Pass FIR Filter Using Multiplier- Less Techn...
FPGA Based Design of 32 Tap Band Pass FIR Filter Using Multiplier- Less Techn...FPGA Based Design of 32 Tap Band Pass FIR Filter Using Multiplier- Less Techn...
FPGA Based Design of 32 Tap Band Pass FIR Filter Using Multiplier- Less Techn...
 
E0162736
E0162736E0162736
E0162736
 
Design of Variable Digital FIR Filter for Software Defined Radio Applications
Design of Variable Digital FIR Filter for Software Defined Radio ApplicationsDesign of Variable Digital FIR Filter for Software Defined Radio Applications
Design of Variable Digital FIR Filter for Software Defined Radio Applications
 
Design of Low Power Reconfigurable IIR filter with Row Bypassing Multiplier
Design of Low Power Reconfigurable IIR filter with Row Bypassing MultiplierDesign of Low Power Reconfigurable IIR filter with Row Bypassing Multiplier
Design of Low Power Reconfigurable IIR filter with Row Bypassing Multiplier
 
Design of Area Efficient Digital FIR Filter using MAC
Design of Area Efficient Digital FIR Filter using MACDesign of Area Efficient Digital FIR Filter using MAC
Design of Area Efficient Digital FIR Filter using MAC
 
Digital Implementation of Costas Loop with Carrier Recovery
Digital Implementation of Costas Loop with Carrier RecoveryDigital Implementation of Costas Loop with Carrier Recovery
Digital Implementation of Costas Loop with Carrier Recovery
 
Implementation and Performance Analysis of Kaiser and Hamming Window Techniqu...
Implementation and Performance Analysis of Kaiser and Hamming Window Techniqu...Implementation and Performance Analysis of Kaiser and Hamming Window Techniqu...
Implementation and Performance Analysis of Kaiser and Hamming Window Techniqu...
 
Design and Implementation of FIR Filter to Analyze Power Efficiency and Noise...
Design and Implementation of FIR Filter to Analyze Power Efficiency and Noise...Design and Implementation of FIR Filter to Analyze Power Efficiency and Noise...
Design and Implementation of FIR Filter to Analyze Power Efficiency and Noise...
 
Performance Analysis and Simulation of Decimator for Multirate Applications
Performance Analysis and Simulation of Decimator for Multirate ApplicationsPerformance Analysis and Simulation of Decimator for Multirate Applications
Performance Analysis and Simulation of Decimator for Multirate Applications
 
Analysis of different FIR Filter Design Method in terms of Resource Utilizati...
Analysis of different FIR Filter Design Method in terms of Resource Utilizati...Analysis of different FIR Filter Design Method in terms of Resource Utilizati...
Analysis of different FIR Filter Design Method in terms of Resource Utilizati...
 
Novel fpga design and implementation of digital up
Novel fpga design and implementation of digital upNovel fpga design and implementation of digital up
Novel fpga design and implementation of digital up
 
J017635664
J017635664J017635664
J017635664
 
Multi band, multi mode digital rf receiver front end module for m-wimax
Multi band, multi mode digital rf receiver front end module for m-wimaxMulti band, multi mode digital rf receiver front end module for m-wimax
Multi band, multi mode digital rf receiver front end module for m-wimax
 
Introduction to DSP.ppt
Introduction to DSP.pptIntroduction to DSP.ppt
Introduction to DSP.ppt
 
Ay25303307
Ay25303307Ay25303307
Ay25303307
 
IRJET- Filter Design for Educational Set Via Labview Software Program
IRJET- Filter Design for Educational Set Via Labview Software ProgramIRJET- Filter Design for Educational Set Via Labview Software Program
IRJET- Filter Design for Educational Set Via Labview Software Program
 

Mehr von Editor IJARCET

Electrically small antennas: The art of miniaturization
Electrically small antennas: The art of miniaturizationElectrically small antennas: The art of miniaturization
Electrically small antennas: The art of miniaturizationEditor IJARCET
 
Volume 2-issue-6-2205-2207
Volume 2-issue-6-2205-2207Volume 2-issue-6-2205-2207
Volume 2-issue-6-2205-2207Editor IJARCET
 
Volume 2-issue-6-2195-2199
Volume 2-issue-6-2195-2199Volume 2-issue-6-2195-2199
Volume 2-issue-6-2195-2199Editor IJARCET
 
Volume 2-issue-6-2200-2204
Volume 2-issue-6-2200-2204Volume 2-issue-6-2200-2204
Volume 2-issue-6-2200-2204Editor IJARCET
 
Volume 2-issue-6-2190-2194
Volume 2-issue-6-2190-2194Volume 2-issue-6-2190-2194
Volume 2-issue-6-2190-2194Editor IJARCET
 
Volume 2-issue-6-2186-2189
Volume 2-issue-6-2186-2189Volume 2-issue-6-2186-2189
Volume 2-issue-6-2186-2189Editor IJARCET
 
Volume 2-issue-6-2177-2185
Volume 2-issue-6-2177-2185Volume 2-issue-6-2177-2185
Volume 2-issue-6-2177-2185Editor IJARCET
 
Volume 2-issue-6-2173-2176
Volume 2-issue-6-2173-2176Volume 2-issue-6-2173-2176
Volume 2-issue-6-2173-2176Editor IJARCET
 
Volume 2-issue-6-2165-2172
Volume 2-issue-6-2165-2172Volume 2-issue-6-2165-2172
Volume 2-issue-6-2165-2172Editor IJARCET
 
Volume 2-issue-6-2159-2164
Volume 2-issue-6-2159-2164Volume 2-issue-6-2159-2164
Volume 2-issue-6-2159-2164Editor IJARCET
 
Volume 2-issue-6-2155-2158
Volume 2-issue-6-2155-2158Volume 2-issue-6-2155-2158
Volume 2-issue-6-2155-2158Editor IJARCET
 
Volume 2-issue-6-2148-2154
Volume 2-issue-6-2148-2154Volume 2-issue-6-2148-2154
Volume 2-issue-6-2148-2154Editor IJARCET
 
Volume 2-issue-6-2143-2147
Volume 2-issue-6-2143-2147Volume 2-issue-6-2143-2147
Volume 2-issue-6-2143-2147Editor IJARCET
 
Volume 2-issue-6-2119-2124
Volume 2-issue-6-2119-2124Volume 2-issue-6-2119-2124
Volume 2-issue-6-2119-2124Editor IJARCET
 
Volume 2-issue-6-2139-2142
Volume 2-issue-6-2139-2142Volume 2-issue-6-2139-2142
Volume 2-issue-6-2139-2142Editor IJARCET
 
Volume 2-issue-6-2130-2138
Volume 2-issue-6-2130-2138Volume 2-issue-6-2130-2138
Volume 2-issue-6-2130-2138Editor IJARCET
 
Volume 2-issue-6-2125-2129
Volume 2-issue-6-2125-2129Volume 2-issue-6-2125-2129
Volume 2-issue-6-2125-2129Editor IJARCET
 
Volume 2-issue-6-2114-2118
Volume 2-issue-6-2114-2118Volume 2-issue-6-2114-2118
Volume 2-issue-6-2114-2118Editor IJARCET
 
Volume 2-issue-6-2108-2113
Volume 2-issue-6-2108-2113Volume 2-issue-6-2108-2113
Volume 2-issue-6-2108-2113Editor IJARCET
 
Volume 2-issue-6-2102-2107
Volume 2-issue-6-2102-2107Volume 2-issue-6-2102-2107
Volume 2-issue-6-2102-2107Editor IJARCET
 

Mehr von Editor IJARCET (20)

Electrically small antennas: The art of miniaturization
Electrically small antennas: The art of miniaturizationElectrically small antennas: The art of miniaturization
Electrically small antennas: The art of miniaturization
 
Volume 2-issue-6-2205-2207
Volume 2-issue-6-2205-2207Volume 2-issue-6-2205-2207
Volume 2-issue-6-2205-2207
 
Volume 2-issue-6-2195-2199
Volume 2-issue-6-2195-2199Volume 2-issue-6-2195-2199
Volume 2-issue-6-2195-2199
 
Volume 2-issue-6-2200-2204
Volume 2-issue-6-2200-2204Volume 2-issue-6-2200-2204
Volume 2-issue-6-2200-2204
 
Volume 2-issue-6-2190-2194
Volume 2-issue-6-2190-2194Volume 2-issue-6-2190-2194
Volume 2-issue-6-2190-2194
 
Volume 2-issue-6-2186-2189
Volume 2-issue-6-2186-2189Volume 2-issue-6-2186-2189
Volume 2-issue-6-2186-2189
 
Volume 2-issue-6-2177-2185
Volume 2-issue-6-2177-2185Volume 2-issue-6-2177-2185
Volume 2-issue-6-2177-2185
 
Volume 2-issue-6-2173-2176
Volume 2-issue-6-2173-2176Volume 2-issue-6-2173-2176
Volume 2-issue-6-2173-2176
 
Volume 2-issue-6-2165-2172
Volume 2-issue-6-2165-2172Volume 2-issue-6-2165-2172
Volume 2-issue-6-2165-2172
 
Volume 2-issue-6-2159-2164
Volume 2-issue-6-2159-2164Volume 2-issue-6-2159-2164
Volume 2-issue-6-2159-2164
 
Volume 2-issue-6-2155-2158
Volume 2-issue-6-2155-2158Volume 2-issue-6-2155-2158
Volume 2-issue-6-2155-2158
 
Volume 2-issue-6-2148-2154
Volume 2-issue-6-2148-2154Volume 2-issue-6-2148-2154
Volume 2-issue-6-2148-2154
 
Volume 2-issue-6-2143-2147
Volume 2-issue-6-2143-2147Volume 2-issue-6-2143-2147
Volume 2-issue-6-2143-2147
 
Volume 2-issue-6-2119-2124
Volume 2-issue-6-2119-2124Volume 2-issue-6-2119-2124
Volume 2-issue-6-2119-2124
 
Volume 2-issue-6-2139-2142
Volume 2-issue-6-2139-2142Volume 2-issue-6-2139-2142
Volume 2-issue-6-2139-2142
 
Volume 2-issue-6-2130-2138
Volume 2-issue-6-2130-2138Volume 2-issue-6-2130-2138
Volume 2-issue-6-2130-2138
 
Volume 2-issue-6-2125-2129
Volume 2-issue-6-2125-2129Volume 2-issue-6-2125-2129
Volume 2-issue-6-2125-2129
 
Volume 2-issue-6-2114-2118
Volume 2-issue-6-2114-2118Volume 2-issue-6-2114-2118
Volume 2-issue-6-2114-2118
 
Volume 2-issue-6-2108-2113
Volume 2-issue-6-2108-2113Volume 2-issue-6-2108-2113
Volume 2-issue-6-2108-2113
 
Volume 2-issue-6-2102-2107
Volume 2-issue-6-2102-2107Volume 2-issue-6-2102-2107
Volume 2-issue-6-2102-2107
 

Kürzlich hochgeladen

GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUK Journal
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)wesley chun
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProduct Anonymous
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024The Digital Insurer
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slidevu2urc
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherRemote DBA Services
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Enterprise Knowledge
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityPrincipled Technologies
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘RTylerCroy
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Igalia
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoffsammart93
 

Kürzlich hochgeladen (20)

GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 

1749 1756

  • 1. ISSN: 2278 – 1323 International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 2, No 5, May 2013 1749 www.ijarcet.org  Abstract— IIR Band-stop filter is recursive in nature i.e. the present output sample depends on the past input sample, past output samples and the present input samples. If the past and present inputs and output are varied the resulting present output will be changed. The Band-stop filter rejects one band of frequency and allows all other frequency band to pass. In this paper, the performance analysis of Band-stop filter is done using the Modified Analog-to-Digital Mapping technique and simulated in Matlab7. The response of the filter can be modified by changing the value of the components. The coefficients that are essentially required to design a IIR Digital Band-stop filter, are also calculated using the above mentioned algorithm and finally the magnitude response and the stability of the filter are determined using Matlab7 with satisfying results. The pole-zero plot of a system, filter in this case, determines the stability of the predesigned IIR Band-stop filter. Index Terms— IIR filter, Digital filter, Band-stop filter, filter design, Modified Analog-to-Digital Mapping algorithm, coefficient. I. INTRODUCTION Filter is a very essential device in signal processing. Actually filter circuit is applied in a system for the filtration of the input signal from noise and producing the output with least amount of noise. In Digital Signal Processing (DSP), there are mainly two types of filter available depending upon the impulse response and they are the Infinite Impulse Response(IIR) filter and another is the Finite Impulse Response(FIR) filter[1][2][12][26][27]. IIR filter is recursive type filter as the present output is dependent on the present input, past inputs and past outputs. The response of the IIR filter is of infinite duration whereas the response of FIR filter is of finite duration. There are many types of filter available for different applications. Band-stop filter is one of them and plays an important role in signal processing and filtering operation. IIR Band-stop filter stops one specific band of frequency and allows all other frequency bands to pass. With a small variation of IIR Band-stop filter, the Notch filter can also be Authors: Subhadeep Chakraborty, is presently assistant professor in West Bengal University of Technology, resides in Kolkata, West Bengal, India. Abhirup Patra, is presently pursuing B.Tech degree from West Bengal University of Technology resides in Kolkata, West Bengal, India. designed which is capable of eliminating only one frequency if proper specification is chosen [12][26][28][30]. Filter is of two types, analog filter and digital filter. The analog filter can be designed by resistors, capacitors, inductors and voltage source [7][12][28][29]. If an analog filter is constructed by using passive elements such as the resistors, capacitors and inductors, this analog filter is known to as the passive filter, and if the same is designed by active elements such as the voltage source along with the passive elements, the designed filter is known to as the active filters[28][29]. In our practical use, the filter is generally constructed by the OpAmp along with the passive and active elements. The reason behind this design is that the OpAmp shows the recursive effect which is necessary for an IIR filter [7][15]. There are various methods available to design the digital filter. The digital filter can be designed after constructing the analog filter and with the application of analog to digital mapping technique with the introduction of frequency transformation[1][3][7][22][27][31]. The basic target to design the digital filter is to obtain the transfer function in digital domain so that one can understand the stability of the filter. The digital filter have several characteristics like high accuracy, sensitivity, smaller physical size, reduced sensitivity to component tolerance and drift[1][2][3][7][8][12][14]. In this paper, the design and performance analysis of IIR Digital Band-stop filter is shown using the Modified Analog-to-Digital Mapping Technique(MADM) on a predesigned IIR Analog Band-stop filter[3][12]. II. TYPES OF FILTERS There are basically two types of filter as follows: 1. Infinite Impulse Response(IIR) filter 2. Finite Impulse Response(FIR) filter Filter can be classified into two types, depending upon the construction as follows: 1. Analog filter 2. Digital filter There are various types of filters we can have for different applications. In this application view, the filter can be categorized as follows[18][21][26][27][31]: 1. Low pass filter 2. High pass filter 3. Band pass filter 4. Band stop or Notch filter 5. All pass filter 6. Comb filter Subhadeep Chakraborty, Abhirup Patra Performance Analysis of IIR Digital Band Stop Filter
  • 2. ISSN: 2278 – 1323 International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 2, No 5, May 2013 1750 All Rights Reserved © 2013 IJARCET The Band-stop filter is applied to reject one specific frequency band. Notch filter is the variation of Band-stop filter and used to stop only one frequency[5][6][30]. In the next section, the design of IIR Band-stop is shown. III. DESIGN OF ANALOG IIR BANDSTOP FILTER As discussed earlier, the band-stop filter can be designed by passive elements, passive and active elements or with OpAmp chip. The design of Twin-T analog band-stop filter is shown in Fig.1 using the passive components like Inductor and the capacitors[12][28][29]. Fig.1 Twin-T passive Band stop filter(RC) The parameter required for designing the T-section Band stop filter is given below[28][29], 1 1 2 2 1 1 2 2 mf L C L C    …. .(1) 1/ 1 2 / 2kR L C L C  ….(2) 1 2 1 1 2 ( )k C R     ….(3) 2 1 1 2 1 2 ( )kR L       ….(4) 2 1 2 2 1 2 ( ) k C R       ….(5) 2 2 12( ) kR L     ….(6) Where, kR = Nominal characteristic impedance mf = Geometric mean of two cut-off frequencies 1 = Low cut-off frequency 2 = High cut-off frequency This filter can also be design in form of RC circuit i.e. the construction is done using the resistors and the capacitors. Now, the construction of Band-stop filter using OpAmp is shown below in Fig.2[12][28][29]. Fig.2 Active IIR Band stop filter using OpAmp The circuit shown in Fig.2 is constructed using OpAmp chip and hence shows the recursive effect, essential to design the IIR filter. Hence the circuit is for IIR Band-stop filter which stops a specified band of frequency. The proper design of IIR Digital Band-stop filter can be done by applying Modified Analog-to-Digital Mapping Technique, an algorithm which efficiently design the digital filter and hence the IIR Digital Band-stop filter in this case. IV. DESIGN OF DIGITAL IIR BANDSTOP FILTER An analog Band-stop filter can be constructed using the passive components such as the resistor, capacitor and inductor or by using OpAmp chip. The stability of the constructed filter can be determined by obtaining the transfer function. If the transfer function of the analog filter can be mapped into its equivalent digital filter i.e. the transfer function will be mapped from s-domain to digital or z-domain, the stability can easily be found out. The corresponding pole-zero plot also determines the stability of that filter. Now, to design a digital filter, there are many algorithms are available which can design the digital filter in different ways. The Modified Analog-to-Digital Mapping Algorithm is such a algorithm which provides with the mapping fundamentals for suitable design of the digital filter. This algorithm also helpful to evaluate the performance of the designed digital filter. A. Passive component value modification The analog filter is designed using the passive components, the value can be modified. After each modification, the output values will also be changed because if the values of the passive components will be changed, the stopband frequency, the passband frequency, the stopband ripple and the passband ripples will be modified[1][3][9][12][16]. Sometimes it is seen that, after successful modification of the values of the passive components, the order of the filter will remain unchanged. This indicates that, though the values are changed, the order will remain unchanged by a little bit variation of the passband and stopband ripple or with the variation of the passband or stopband frequency. After crossing the limit of the modification, the order will be changed. That means, for a set of values of modification, the order remain unchanged. So, there obviously a set of
  • 3. ISSN: 2278 – 1323 International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 2, No 5, May 2013 1751 www.ijarcet.org Re-Specify Re-Calculate Re-realize passband frequency and stopband frequency as well as stopband ripple and passband ripple for which the order of the filter will remain fixed[7][17][26][31]. Now, within the specified set of frequencies and ripples, the magnitude response will be varied. The magnitude response we can get for the highest limiting condition of the values of the above mentioned factors, will be considered as the perfect designed filter for the specified order of the filter. B. Modified Analog-to-Digital Mapping Algorithm This algorithm efficiently design the IIR Digital filter. Hence in this paper, the design methodology of IIR Band-stop filter is discussed. This algorithm is basically used for frequency transformation. It is also essentially required for s-plane to z-plane mapping i.e. analog-to-digital mapping technique through which the digital filter can be designed from an analog filter[1][12][19][21][25][26][27]. Fig 3 Modified Analog-to-Digital Mapping Algorithm This algorithm basically used design the transfer function in digital domain of a filter that is previously designed in the analog domain. After successful calculation of transfer function in digital domain i.e. in z-plane, the digital filter can be designed with predefined specifications. The performance of a digital filter can be enhanced by modifying the values of resistor and capacitors. The response of a filter of a particular order can be enhanced or modified by varying the values of passive components, i.e. resistors and capacitors. C. Design of analog IIR Band-stop filter by TinaPro9 The analog IIR Band-stop filter is designed in TinaPro simulation tool. With help of this design, the digital IIR Band-stop filter can be designed and with the variation of the values of passive components, the modified digital filter can be constructed. The design is shown in Fig 4. Fig 4. IIR Band-stop filter design using TinaPro9 simulation tool D. Transfer function of IIR Band-stop filter in digital plane The transfer function of IIR Digital Band-stop filter can be given by[1][12][13][20][23][24][26][27][31], 0 1 ( ) ( ) 1 ( ) M n n N n n b n z H z a n z         …(7) 1 2 1 2 ( ) (0) (1) (2) ....... ( ) ( ) 1 (1) (2) .............. ( ) M N B z b b z b z b M z A z a z a z a N z                 ….(8) Where, H(z) = Transfer function and Z-transform of impulse response h(n) b(n) = Numerator coefficient a(n) = Denominator coefficient Now, from equation (7) and (8), it is found that the transfer function H(z) deals with the numerator coefficient b(n) and denominator coefficient a(n)[2][4][10][11][12]. If the value of the coefficients can be determined, the proper design of digital filter is possible. The value of the Start Design the Analog filter Obtain the transfer function in s-plane Obtain coefficients in s-plane Obtain relationship between s-plane and z-plane Set suitable cutoff, passband and stopband frequency Apply frequency transformation Apply analog to digital conversion or mapping Obtain transfer function in z-plane Calculate filter coefficient Realize filter structure Analysis of digital filter Implementation of digital filter Stop Specify the values of components
  • 4. ISSN: 2278 – 1323 International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 2, No 5, May 2013 1752 All Rights Reserved © 2013 IJARCET coefficients is dependent upon the order of the filter. The order of the filter is again determined by the values of the passive components. So, if the value of the passive components is will be modified maintaining the proper order of the filter, the performance of the filter with same order will be modified either increased or decreased. So, the perfect specification must be choosen so that the high performance can be obtained. E. Performance modification using modified values of passive components The passive components of the circuit shown in Fig.4 are the capacitor and the resistor where, R1=R2=R C2=C3=C C1=2C; R3=R/2 If the values will be modified accordingly to obtain the valus of the stopband frequency, the modified result such as the magnitude response, impulse response, the pole-zero plot can be well observed. Let we start the calculation of the values of the passive components with two fixed values of the capacitors, one for C=470 nF and second for C=100 nF . So it is clear that if the value of the capacitance will be fixed, certainly the value of the resistor will be changed. So, the response will be modified. Let we concider the passband frequency will be ωp=400 rad/sec. The stopband frequency will be determined on the basis of the passive component values. If the values will be changed , the corresponding stopband frequency will also be changed by maintaining the same order of the filter. The following tables, Table-1 and Table-2 describes the values of the stopband frequency and the notch frequency of a same ordered filter. TABLE-1 Value of capacitor (nF) Value of resistor (calculated) (KΩ) Roundoff Value of resistance (available) (KΩ) Passband frequency ωp (rad/sec) Stopband frequency ωs (rad/sec) Notch frequency ωn (rad/sec) Order of the Bandstop filter 470 2.300 2.4 400 1450 925 10 470 2.360 2.4 400 1400 900 10 470 2.430 2.4 400 1350 875 10 470 2.520 2.7 400 1300 850 10 470 2.570 3.0 400 1250 825 10 470 2.650 3.0 400 1200 800 10 470 2.661 3.0 400 1199 799.5 10 470 2.662 3.0 400 1198 799 10 TABLE-2 Value of capacitor (nF) Value of resistor (calculated) (KΩ) Roundoff Value of resistance (available) (KΩ) Passband frequency ωp (rad/sec) Stopband frequency ωs (rad/sec) Notch frequency ωn (rad/sec) Order of the Bandstop filter 100 10.800 11 400 1450 925 10 100 11.110 11 400 1400 900 10 100 11.420 11 400 1350 875 10 100 11.760 12 400 1300 850 10 100 12.120 13 400 1250 825 10 100 12.500 13 400 1200 800 10 100 12.507 13 400 1199 799.5 10 100 12.515 13 400 1198 799 10
  • 5. ISSN: 2278 – 1323 International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 2, No 5, May 2013 1753 www.ijarcet.org From the above two tables, it is clear that to construct a bandstop filter of order 10 with passband frequency ωp=400 rad/sec , there are some set of resistance, that will be used to vary the the Notch frequency as well as the stopband frequency keeping the same order of the filter. The set of resistance are given below in Table-3 and Table-4 with there corresponding preferrable notch frequency. TABLE-3 Value of capacitor (nF) Value of Resistance (KΩ) Notch frequency ωn(rad/sec) Order of Bandstop Filter 470 2.4 925 10 470 2.7 850 10 470 3.0 799 10 TABLE-4 Value of capacitor (nF) Value of Resistance (KΩ) Notch frequency ωn(rad/sec) Order of Bandstop Filter 100 11 925 10 100 12 850 10 100 13 799 10 So, in order to evaluate the performance of the Bandstop filter, three frequency can be selected that is ωn=925 rad/sec, ωn=850 rad/sec and ωn=799 rad/sec. Among those frequencies, ωn=925 rad/sec is the first frequency of order=10 and after that frequency the order will be decreased and ωn=799 rad/sec is the last frequency for the Bandstop filter of order=10 and before that frequency the order of the filter will be increased for ωp=400 rad/sec. V. SIMULATION The simulation results for the Bandstop filter of order=10 with notch frequency ωn=925 rad/sec, ωn=850 rad/sec and ωn=799 rad/sec respectively are shown below from Fig.5 to Fig. 13. The simulation results include the magnitude response, impulse response and the pole-zero plot which determines the stability and performance of the preconstructed Bandstop filter. A. Simulation for ωn=925 rad/sec I. Magnitude response Fig.5 Magnitude response II. Impulse response Fig.6 Impulse response III.Pole-Zero plot Fig.7 Pole-Zero plot
  • 6. ISSN: 2278 – 1323 International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 2, No 5, May 2013 1754 All Rights Reserved © 2013 IJARCET B. Simulation for ωn=850 rad/sec I. Magnitude response Fig.8 Magnitude response II. Impulse response Fig.9 Impulse response III. Pole-Zero plot Fig.10 Pole-Zero plot C. Simulation for ωn=799 rad/sec I. Magnitude response Fig.11 Magnitude response II. Impulse response Fig.12 Impulse response III. Pole-Zero plot Fig.13 Pole-Zero plot
  • 7. ISSN: 2278 – 1323 International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 2, No 5, May 2013 1755 www.ijarcet.org VI. CONCLUSION The simulations, performed in Matlab7(R2008a), shown above from Fig.5 to Fig.13 are showing the responses of same the Bandstop filter with modified value of its passive components. Particularly the pole-zero plot shows that the designed filter is stable as all the poles and the zeros are inside the unit circle. Now if we observe Fig.5, Fig.8 and Fig.11 properly, it can be said that the magnitude response of Fig.11 is much more better than that of other two. The pole-zero plot of Fig.13 is also perfectly stable with respect to the pole-zero plot in Fig.7 and Fig.10. So, it is clear that using the parameters C=470 nF and R=3 KΩ or C=100 nF and R=13 KΩ is the perfect one when the design is for 10th order Bandstop filter. So, to design a Digital Bandstop filter from a predesigned Analog Bandstop filter by applying the Modified Analog-to-Digital Mapping Technique, the above mentioned specification can be used to achieve far good result in performance and achieving the goal of good stability. VII. ACKNOWLEDGEMENTS In this paper, the design methodology of a Bandstop filter is shown where the digital filter is constructed from a predesigned analog filter. The Modified Analog-to-Digital Mapping Technique is introduce for analog to digital mapping of a bandstop filter to increase the performance as well as to descrease the computational time for the design. This is reflected in the simulations. The idea of the paper is taken from the list of references given below. REFERENCES [1] Ranjit Singh and Sandeep K. Arya, ―Determining Optimum coefficients of IIR Digital Filter using Analog to Digital Mapping,‖ International Journal of Advancements in Computer Science and Information Technology, Vol. 01,No. 01, September 2011 pp.19-23. [2] Subhadeep Chakraborty, Krishna Kumar Jha, Abhirup Patra, ― Design of IIR Digital Highpass Butterworth Filter using Analog to Digital Mapping Technique‖, International Journal of Computer Applications (0975 – 8887) Volume 52 – No. 7, August 2012 [3] Ranjit Singh Chauhan and Sandeep Kumar Arya, ― Determine Optimal Coefficients of IIR Digital Filters using Simulated Annealing‖, International Journal of Computer Applications (0975 – 8887) Volume 43– No.10, April 2012 36 [4] Saurabh Singh Rajput, Dr. S.S. Bhadauria,―Comparison of Band-stop FIR Filter using Modified Hamming Window and Other Window functions and Its Application in Filtering a Mutitone Signal‖, International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 1, Issue 8, October 2012. [5] Surapum Yamman, Watcharapong Hinjit, Weerasak Ussawongaraya, Payao Thoopluang, Kobchai ejhan,―Design and implementation of IIR Multiple Notch Filter with Modified Pole-Zero Placement Algorithm‖,Yhe Journal of KMITNB,Vol. 15, No. 2, Apr-Jun 2005. [6] Suhash Chandra Dutta Roy, Balbir Kumar and Shail Bala Jain, ―Fir Notch Filter Design-A Review‖, Facta Universitatis (NIS),Electronics and Energetics vol. 14, No. 3, December 2001, 295-327 [7] Subhadeep Chakraborty, Subhasish Maitra,‖ Design and Determination of Optimum Coefficients of IIR Digital Highpass Filter using Analog to Digital Mapping Technique‖, International Journal of Computer Applications (0975 – 8887) Volume 58– No.7, November 2012 [8] Zhengzheng Wu , Yonghyun Shim,, Mina Rais-Zadeh, ―Miniaturized UWB Filters Integrated With Tunable Notch Filters Using a Silicon-Based Integrated Passive Device Technology‖, IEEE Transactions On Microwave Theory And Techniques. [9] Nitesh kumar, namarta sahayam, ― Design of Narrow Band Reject Filter‖, International Journal of Scientific & Engineering Research, Volume 2, Issue 12, December-2011 1 ISSN 2229-5518 [10] Haiwen Liu, Reinhard H. Knoechel, and Klaus F. Schuenemann, ―Miniaturized Bandstop Filter Using Meander Spurline and Capacitively Loaded Stubs‖, ETRI Journal, Volume 29, Number 5, October 2007 [11] Samarjeet Singh, Uma Sharma, ―MATLAB Based Digital IIR Filter Design‖, International Journal of Electronics and Computer Science Engineering, ISSN- 2277-1956/V1N1-74-83. [12] Subhadeep Chakraborty, ―Design and Realization of IIR Digital Band Stop Filter Using Modified Analog to Digital Mapping Technique‖, International Journal of Science, Engineering and Technology Research, Volume 2, Issue 3, March 2013. [13] K.Ramesh, A.Nirmalkumar, and G.Gurusamy, ―Design of Digital IIR filters with the Advantages of Model Order Reduction Technique‖, International Journal of Electrical and Computer Engineering, 4:14 2009. [14] Xi Zhang, ―Design of maximally flat IIR filters with flat group delay responses‖, Elsavier, Signal Processing 88 (2008) 1792–1800. [15] Ranjit Kaur, Manjeet Singh Patterh, J.S. Dhillon, ― Design of Optimal L1 Stable IIR Digital Filter using Hybrid Optimization Algorithm‖, International Journal of Computer Applications (0975 – 8887) Volume 38– No.2, January 2012. [16] W.-S. Lu, ―Design of Stable IIR Digital Filters With Equiripple Passbands and Peak-Constrained Least-Squares Stopbands‖, IEEE Transactions On Circuits And Systems—II: Analog And Digital Signal Processing, Vol. 46, No. 11, November 1999. [17] Manish Kansal, Vijay Kumar, Dinesh Arora, Hardeep Singh Saini, ―Designing & Implementation of Digital Filter for removal of Power Supply Noise‖, International Journal of Soft Computing and Engineering (IJSCE) ISSN: 2231-2307, Volume-1, Issue-4, September 2011. [18] B.A. Shanoi, ―Introduction to Digital Signal Processing and Filter design‖, Willey Interscience, 2006. [19] Li Tan,―Digital Signal Processing-Fundamentals and Applications‖, Academic Press, Elsavier, ISBN: 978-0-12-374090-8, 2008. [20] Gerard Blanchet and Maurice Charbit, ―Digital Signal and Image Processing using Matlab‖, ISTE Ltd., © HERMES
  • 8. ISSN: 2278 – 1323 International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 2, No 5, May 2013 1756 All Rights Reserved © 2013 IJARCET Science Europe Ltd, 2001,© ISTE Ltd, 2006, ISBN-13: 978-1-905209-13-2,ISBN-10: 1-905209-13-4 [21] J.S. Chitode, ―Digital Signal Processing‖, Technical Publication, Pune, ISBN:9788184314243. [22] Dag Stranneby, ―Digital Signal Processing-DSP & Application‖, Butterworth-Heinemann,Oxford, ISBN:0750648112, 2001. [23] Michael Weeks, ―Digital Signal Processing Using MATLAB and Wavelets‖, Infinity Science Press, Hingham, Massachusetts, ISBN: 0-9778582-0-0, 2007. [24] Taan S. ElAli, ―Discrete Systems and Digital Signal Processing with Matlab‖, CRC Press,ISBN 0-203-487117, 2004. [25] Bob Meddins, ―Introduction to Digital Signal Processing‖, Essential Electronics Series, Newnes, Butterworth-Heinemann, Oxford, ISBN: 0750650486, 2000. [26] Proakis, J. G. and Manolakis, D. G. 2007. Digital Signal Processing: Principles, Algorithms, and Applications. Pearson Education Ltd [27] P. Ramesh Babu,‖Digital Signal Processing‖, Fourth edition, Scitech Publication(India) Pvt. Ltd, Chennai,2008. [28] D.Chattopadhyaya, P.C. Rakshit, ―Fundamentals Of Electric Circuit Theory‖, ISBN: 8121900085 [29] A. Sudhakar and Shyammohan S. Palli, ―Circuits and Network‖, Fourth Edition, Tata McGraw Hill Education Private Limited, New Delhi, 2011. [30] Ramakant A. Gayakwad, ―Opamp and Linear Integrated Circuit‖, Fourth Edition, PHI Learning Private Limited, New Delhi, 2010. [31] Andreas Antoniou, ―Digital Signal Processing : Signals, Systems and Filters‖, Tata McGraw-Hill Education, ISBN-10: 0070636338, 2006 Authors Subhadeep Chakraborty, born in 1986, is Assistant Professor in Calcutta Institute of Technology. He received the B.Tech degree from Saroj Mohan Institute of Technology, WBUT,India and M.Tech degree from Kalyani Govt. Engineering College, WBUT, India in Electronics and Communication Engineering in 2008 and 2010.The author has been teaching in Calcutta Institute of Technology for 2 years. His primary research interest includes Digital Signal Processing, Embedded System and Microprocessor. cloud computing, virtualization of Network. Abhirup Patra is pursuing his B.Tech degree from Calcutta Institute of Technology and this is his final year. His basic interest includes Digital Signal Processing, Control System.