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LZW coding: we have a word of length 1000, containing these letters with its probabilities: p(a)=0.5, p(b)=0.2, p(c)=0.15, p(d)=0.15 we need 2 bits to represent each letter, so the word requires 2000 bits. using lzw algorithm we decompressed to about 1850 bits, and our compression ratio is 2000/1809 = 1.105   Does this solution seem correct/good?

LZW coding: we have a word of length 1000, containing these letters with its probabilities: p(a)=0.5, p(b)=0.2, p(c)=0.15, p(d)=0.15 we need 2 bits to represent each letter, so the word requires 2000 bits. using lzw algorithm we decompressed to about 1850 bits, and our compression ratio is 2000/1809 = 1.105   Does this solution seem correct/good?

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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LZW coding:

we have a word of length 1000, containing these letters with its probabilities:

p(a)=0.5, p(b)=0.2, p(c)=0.15, p(d)=0.15

we need 2 bits to represent each letter, so the word requires 2000 bits.

using lzw algorithm we decompressed to about 1850 bits,

and our compression ratio is 2000/1809 = 1.105

 

Does this solution seem correct/good?

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