Introduction to Coding and Information Theory (Hardcover, 1997 ed.)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Undergraduate Texts in Mathematics
Release date:	November 1996
First published:	1997
Authors:	Steven Roman
Dimensions:	254 x 178 x 25mm (L x W x T)
Format:	Hardcover
Pages:	326
Edition:	1997 ed.
ISBN-13:	978-0-387-94704-4
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Reference & Interdisciplinary > Communication studies > Information theory > General
LSN:	0-387-94704-3
Barcode:	9780387947044

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