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Lossless Compression Handbook
book

Lossless Compression Handbook

by Khalid Sayood
December 2002
Intermediate to advanced
454 pages
25h 39m
English
Academic Press
Content preview from Lossless Compression Handbook
38 PART I/THEORY
compression approaches that are based on Shannon Information Theory (such as Huffman coding
or arithmetic coding) will code all data from this source using the same size code and will
achieve no compression on any string. But is it accurate to say that no data from this source are
compressible?
Consider two strings, "00000000000000000000" and "01010011011110011100." Most people
would say the second string is "more random" and "less compressible" even though there is
absolutely no justification for these statements in light of the data source, as both strings have
exactly the same probability ...
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Publisher Resources

ISBN: 9780126208610