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25 Remote Warehouse Communications- Information Theory

Graduate Texts in Mathematics #134: Coding and Information Theory

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Graduate Texts in Mathematics #134: Coding and Information Theory Cover

ISBN13: 9780387978123
ISBN10: 0387978127
Condition:
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Synopses & Reviews

Publisher Comments:

This book is an introduction to information and coding theory at the graduate or advanced undergraduate level. It assumes a basic knowledge of probability and modern algebra, but is otherwise self- contained. The intent is to describe as clearly as possible the fundamental issues involved in these subjects, rather than covering all aspects in an encyclopedic fashion. The first quarter of the book is devoted to information theory, including a proof of Shannon's famous Noisy Coding Theorem. The remainder of the book is devoted to coding theory and is independent of the information theory portion of the book. After a brief discussion of general families of codes, the author discusses linear codes (including the Hamming, Golary, the Reed-Muller codes), finite fields, and cyclic codes (including the BCH, Reed-Solomon, Justesen, Goppa, and Quadratic Residue codes). An appendix reviews relevant topics from modern algebra.

Book News Annotation:

An introduction to information and coding theory at the graduate or advanced undergraduate level. It assumes a basis knowledge of probability and modern algebra, but is otherwise self-contained. The first quarter of the text is devoted to information theory; the remainder is devoted to coding theory and is independent of the information theory portion. An appendix reviews relevant topics from modern algebra.
Annotation c. Book News, Inc., Portland, OR (booknews.com)

Synopsis:

An introduction to information and coding theory at the graduate or advanced undergraduate level. It assumes a basis knowledge of probability and modern algebra, but is otherwise self-contained. The first quarter of the text is devoted to information theory; the remainder is devoted to coding theory

Table of Contents

1: Entropy. 2: Noisless Coding. 3: Noisy Coding. 4: General Remarks on Codes. 5: Linear Codes. 6: Some Linear Codes. 7: Finite Fields and Cyclic Codes. 8: Some Cyclic Codes.

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ottapalamheelred, December 6, 2006 (view all comments by ottapalamheelred)
I found GOOD BOOKS in this site.If possible please send me books on information theory and coding.
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Product Details

ISBN:
9780387978123
Editor:
Roman, Steven
Editor:
Ewing, J. H.
Editor:
Halmos, P. R.
Author:
Roman, Steven
Author:
Ewing, J. H.
Publisher:
Springer
Subject:
Number Theory
Subject:
Information Theory
Subject:
Coding theory
Subject:
Coding and Information Theory
Subject:
Communications-Information Theory
Copyright:
Edition Number:
2
Edition Description:
Book
Series:
Graduate Texts in Mathematics
Series Volume:
38
Publication Date:
19920604
Binding:
HARDCOVER
Language:
English
Illustrations:
Y
Pages:
506
Dimensions:
235 x 155 mm 1970 gr

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Related Subjects

Engineering » Communications » Information Theory
Reference » Science Reference » Technology
Science and Mathematics » Mathematics » Differential Equations
Science and Mathematics » Mathematics » Number Theory
Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics

Graduate Texts in Mathematics #134: Coding and Information Theory New Hardcover
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$94.95 In Stock
Product details 506 pages Springer-Verlag - English 9780387978123 Reviews:
"Synopsis" by , An introduction to information and coding theory at the graduate or advanced undergraduate level. It assumes a basis knowledge of probability and modern algebra, but is otherwise self-contained. The first quarter of the text is devoted to information theory; the remainder is devoted to coding theory
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