Books > Reference & Interdisciplinary > Communication studies > Information theory
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Universal Compression and Retrieval (Hardcover, 1994 ed.)
Loot Price: R4,713
Discovery Miles 47 130
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Universal Compression and Retrieval (Hardcover, 1994 ed.)
Series: Mathematics and Its Applications, 274
Expected to ship within 10 - 15 working days
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This volume constitutes a comprehensive self-contained course on
source encoding. This is a rapidly developing field and the purpose
of this book is to present the theory from its beginnings to the
latest developments, some of which appear in book form for the
first time. The major differences between this volume and
previously published works is that here information retrieval is
incorporated into source coding instead of discussing it
separately. Second, this volume places an emphasis on the trade-off
between complexity and the quality of coding; i.e. what is the
price of achieving a maximum degree of data compression? Third,
special attention is paid to universal families which contain a
good compressing map for every source in a set. The volume presents
a new algorithm for retrieval, which is optimal with respect to
both program length and running time, and algorithms for hashing
and adaptive on-line compressing. All the main tools of source
coding and data compression such as Shannon, Ziv--Lempel,
Gilbert--Moore codes, Kolmogorov complexity epsilon-entropy,
lexicographic and digital search, are discussed. Moreover, data
compression methods are described for developing short programs for
partially specified Boolean functions, short formulas for threshold
functions, identification keys, stochastic algorithms for finding
the occurrence of a word in a text, and T-independent sets. For
researchers and graduate students of information theory and
theoretical computer science. The book will also serve as a useful
reference for communication engineers and database designers.
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