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EXPERTSYSTEMSANDSOLUTIONS
48, North Street, Aranarai, Perambalur, Tamil Nadu, India.
Email ID: expertsyssol@yahoo.com,
Website: www.researchprojects.info
Phone: 9952749533,
VHDL IMPLIMENTATION OF LZW COMPRESSION ALGORITHM
Abstract
The adaptive Lempel-Ziv-Welch general-purpose algorithm and its implementation
suitable for packet radio telephone transmission, and archival storage. While the statistical variable-
length Huffman technique compresses text by 20%,the LZW technique can compress data (text,
numeric, mixed, and bit-mapped images)by 40 to 60%.
The adaptive LZW algorithm has very simple logic, leading to inexpensive and fast
implementations. Good LXW implementations use 9- to 16-bit codes, handling most applications.A12-bit
code is suitable for medium-size files. Efficiency improves with larger codes. A tight coding of the
algorithm can compress 75 Kbytes in a second on a 1-MIPS machine.
This project is implemented using VHDL &simulation results are verified. It encourages
concurrent development in the area of data compression. The further enhancement of this project is to
achieve more percentage of compression with less hardware.

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Vhdl implimentation of lzw compression algorithm - ECE projects

  • 1. This document contains text automatically extracted from a PDF or image file. Formatting may have been lost and not all text may have been recognized. To remove this note, right-click and select "Delete table".
  • 3. 48, North Street, Aranarai, Perambalur, Tamil Nadu, India. Email ID: expertsyssol@yahoo.com, Website: www.researchprojects.info Phone: 9952749533, VHDL IMPLIMENTATION OF LZW COMPRESSION ALGORITHM Abstract The adaptive Lempel-Ziv-Welch general-purpose algorithm and its implementation suitable for packet radio telephone transmission, and archival storage. While the statistical variable- length Huffman technique compresses text by 20%,the LZW technique can compress data (text, numeric, mixed, and bit-mapped images)by 40 to 60%. The adaptive LZW algorithm has very simple logic, leading to inexpensive and fast implementations. Good LXW implementations use 9- to 16-bit codes, handling most applications.A12-bit code is suitable for medium-size files. Efficiency improves with larger codes. A tight coding of the algorithm can compress 75 Kbytes in a second on a 1-MIPS machine. This project is implemented using VHDL &simulation results are verified. It encourages concurrent development in the area of data compression. The further enhancement of this project is to achieve more percentage of compression with less hardware.