Introduction to Coding and Information Theory

Released on by Steven Roman
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  • Introduction to Coding and Information Theory Book Detail

  • Author : Steven Roman
  • Release Date : 1996-11-26
  • Publisher : Springer Science & Business Media
  • Genre : Computers
  • Pages : 344
  • ISBN 13 : 9780387947044
  • File Size : 19,19 MB
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Introduction to Coding and Information Theory by Steven Roman PDF Summary

Book Description: This book is intended to introduce coding theory and information theory to undergraduate students of mathematics and computer science. It begins with a review of probablity theory as applied to finite sample spaces and a general introduction to the nature and types of codes. The two subsequent chapters discuss information theory: efficiency of codes, the entropy of information sources, and Shannon's Noiseless Coding Theorem. The remaining three chapters deal with coding theory: communication channels, decoding in the presence of errors, the general theory of linear codes, and such specific codes as Hamming codes, the simplex codes, and many others.

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Mathematics of Information and Coding

Mathematics of Information and Coding

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This book is intended to provide engineering and/or statistics students, communications engineers, and mathematicians with the firm theoretic basis of source co

Information and Coding Theory

Information and Coding Theory

File Size : 48,48 MB
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This text is an elementary introduction to information and coding theory. The first part focuses on information theory, covering uniquely decodable and instanta