Abstract19
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The document discusses implementing the Lempel-Ziv-Welch (LZW) data compression algorithm in VHDL. It summarizes that the LZW technique can compress text, numbers, images, and mixed data by 40-60%, more than Huffman coding, due to its simple logic. The project implemented LZW in VHDL and verified simulation results, compressing 75KB/second on a 1-MIPS machine. Further work aims to improve compression percentage and reduce hardware requirements.
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Abstract19
- 1. 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.