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Introduction to Coding and Information Theory (Hardcover, 1997 ed.) Loot Price: R2,459
Discovery Miles 24 590
Introduction to Coding and Information Theory (Hardcover, 1997 ed.): Steven Roman

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

Steven Roman

Series: Undergraduate Texts in Mathematics

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Loot Price R2,459 Discovery Miles 24 590 | Repayment Terms: R230 pm x 12*

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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
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LSN: 0-387-94704-3
Barcode: 9780387947044

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