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Introduction to Coding and Information Theory (Undergraduate Texts in Mathematics) (Hardcover)

by Steven Roman (Author) "In this book, we discuss two distinct aspects of the problem of transmitting data (called source data) from one location to another or, what amounts..." (more)

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Product details

Hardcover: 323 pages
Publisher: Springer (1 Dec 1996)
Language English
ISBN-10: 0140284559
ISBN-13: 978-0387947044
ASIN: 0387947043
Product Dimensions: 25.1 x 18.5 x 2.8 cm
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Amazon.co.uk Sales Rank: 511,171 in Books (See Bestsellers in Books)
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#56 in Books > Computing & Internet > Computer Science > Information Systems > Information Theory

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Product Description

Product 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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In this book, we discuss two distinct aspects of the problem of transmitting data (called source data) from one location to another or, what amounts to the same thing, storing data and then retrieving the data at a later time. Read the first page

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Coding and Information Theory

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