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Books > Reference & Interdisciplinary > Communication studies > Coding theory & cryptology
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Concentration of Measure Inequalities in Information Theory, Communications, and Coding: Second Edition (Paperback, 2nd Revised edition)
Loot Price: R2,315
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Concentration of Measure Inequalities in Information Theory, Communications, and Coding: Second Edition (Paperback, 2nd Revised edition)
Series: Foundations and Trends (R) in Communications and Information Theory
Expected to ship within 10 - 15 working days
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This second edition includes several new sections and provides a
full update on all sections. This book was welcomed when it was
first published as an important comprehensive treatment of the
subject which is now brought fully up to date. Concentration
inequalities have been the subject of exciting developments during
the last two decades, and have been intensively studied and used as
a powerful tool in various areas. These include convex geometry,
functional analysis, statistical physics, mathematical statistics,
pure and applied probability theory (e.g., concentration of measure
phenomena in random graphs, random matrices, and percolation),
information theory, theoretical computer science, learning theory,
and dynamical systems. Concentration of Measure Inequalities in
Information Theory, Communications, and Coding focuses on some of
the key modern mathematical tools that are used for the derivation
of concentration inequalities, on their links to information
theory, and on their various applications to communications and
coding. In addition to being a survey, this monograph also includes
various new recent results derived by the authors. It is essential
reading for all researchers and scientists in information theory
and coding.
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