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Introduction to Coding and Information Theory

123,73 
123,73 
2025-07-31 123.7300 InStock
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Knygos aprašymas

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.

Informacija

Autorius: Steven Roman
Leidėjas: Springer US
Išleidimo metai: 1996
Knygos puslapių skaičius: 344
ISBN-10: 0387947043
ISBN-13: 9780387947044
Formatas: Knyga kietu viršeliu
Kalba: Anglų
Žanras: Information theory

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