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Books > Reference & Interdisciplinary > Communication studies > Information theory
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Redundancy of Lossless Data Compression for Known Sources by Analytic Methods (Paperback)
Loot Price: R2,357
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Redundancy of Lossless Data Compression for Known Sources by Analytic Methods (Paperback)
Series: Foundations and Trends in Communications and Information Theory
Expected to ship within 10 - 15 working days
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The term analytic information theory has been coined to describe
problems of information theory studied by analytic tools. The
approach of applying tools from analysis of algorithms to problems
of source coding and, in general, to information theory lies at the
crossroad of computer science and information theory. Combining the
tools from both areas often provides powerful results, such as
computer scientist Abraham Lempel and information theorist Jacob
Ziv working together in the late 1970s to develop compression
algorithms that are now widely referred to as Lempel-Ziv algorithms
and are the basis of the ZIP compression still used extensively in
computing today. This monograph surveys the use of these techniques
for the rigorous analysis of code redundancy for known sources in
lossless data compression. A separate chapter is devoted to precise
analyses of each of three types of lossless data compression
schemes, namely fixed-to-variable length codes, variable-to-fixed
length codes, and variable-to-variable length codes. Each one of
these schemes is described in detail, building upon work done in
the latter part of the 20th century to present new and powerful
techniques. For the first time, this survey presents redundancy for
universal variable-to-fixed and variable-to-variable length codes
in a comprehensive and coherent manner. The monograph will be of
interest to computer scientists and information theorists working
on modern coding techniques. Written by two leading experts, it
provides the reader with a unique, succinct starting point for
their own research into the area.
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