Developed Hybrid Parameterization Methods Notions : Parameterization Project Areas Functions of S-Parameterization Projects

1. PARAMETERIZATION
MATLAB PROJECTS
www.matlabsimulation.com/parameterization-matlab-projects/

2. Developed Hybrid Parameterization Methods
The reason for choosing parameterization matlab methods are listed below,
Hybrid
Optimization
Methods
Improved
Feynman
Parameterization
Long and also
Short-term
Inverse Mapping
Local and also
Global Tangent
Method
Bootstrapped
Dependency
Injection

3. Notions : Parameterization Project Areas
The following domains are the new versions which we used in parameterization projects,
Internet Of
Things
BigData
Artificial Intelligence
Cellular Projects
Robotics
Signals And Systems

4. Functions of S-Parameterization Projects
The updated functions are used for matlab paramerization are to be stated as below,
feval- To evaluate
the functions used
in parameterization
func2str- To find
character vector from
function handle
smithplot- To
plot measured
data in Smith
chart
rfplot- To plot
the
parameterization
data
rationalfit- To fix
functions in
frequency-domain
data

5. Contact Us
24
www.matlabsimulation.com
+91 9444856435
matlabguide@gmail.com