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Efficient Data Transmission: Lempel-Ziv Compression Example Explained

This document explores the Lempel-Ziv data compression algorithm, focusing on a specific example utilizing a structured dictionary format. It illustrates the steps taken in compressing a sequence of symbols, applying the algorithm in a progressive manner. Key aspects include the creation of addresses and entries in the dictionary, which enhances the compression efficiency for transmitting data. By breaking down how the algorithm works, this example serves as a practical guide for understanding and implementing Lempel-Ziv compression in data transmission scenarios.

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Efficient Data Transmission: Lempel-Ziv Compression Example Explained

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  1. 0 0, null 1 0, a 2 0, b 3 0, c 4 2, c [b c] c transmit 2 create 4: 2,c 5 3, c [c c] c transmit 3 create 5: 3,c 6 3, a [c a] a transmit 3 create 6: 3,a 7 1, c [a c] c transmit 1 create 7: 1,c 8 3, b [c b] b transmit 3 create 8: 3,b 9 4, c [b c c] c c transmit 4 create 9: 4,c 10 5, c [c c c] c c transmit 5 create 10: 5,c 11 10, c [c c c c] c c c transmit 10 create 11: 10,c 12 11, c [c c c c c] c c c c transmit 11 create 12: 11,c 13 6, c [c a c] a c transmit 6 create 13: 6,c 14 10, a [c c c a] c c a transmit 10 create 14: 10,a Lempel-Ziv Example Dictionary Address Entry A = {a,b,c} b c c a c b c c c c c c c c c c c a c c c a b transmit 1

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