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This book presents the fundamentals of discrete information theory (measurement and mathematical modeling of sources and transmission channels) and of coding theory (compression, error control and encryption} using many examples including Genomic Coding.

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The work introduces the fundamentals concerning the measure of discrete information, the modeling of discrete sources without and with a memory, as well as of channels and coding. The understanding of the theoretical matter is supported by many examples. One particular emphasis is put on the explanation of Genomic Coding. Many examples throughout the book are chosen from this particular area and several parts of the book are devoted to this exciting implication of coding.

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Information trans mission systems (ITS).- Statistical Information Model of an ITS.- Source Coding.- Coding for Noiseless Channels.- Cryptography Basics.- Channel Coding.

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From the reviews:

This book introduces the fundamentals of information theory, coding theory closely related to it, and cryptography. It addresses all main building blocks of a modern communication system . The textbook is suitable and useful for MSc and PhD students in telecommunication and computer science as well as in mathematics (to get an idea of math applications). (Nikolai L. Manev, Zentralblatt MATH, Vol. 1251, 2012)

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