Fundamentals of Codes, Graphs, and Iterative Decoding
Fundamentals of Codes, Graphs, and Iterative Decoding is an explanation of how to introduce local connectivity, and how to exploit simple structural descriptions. Chapter 1 provides an overview of Shannon theory and the basic tools of complexity theory, communication theory, and bounds on code construction. Chapters 2 - 4 provide an overview of "classical" error control coding, with an introduction to abstract algebra, and block and convolutional codes. Chapters 5 - 9 then proceed to systematically develop the key research results of the 1990s and early 2000s with an introduction to graph theory, followed by chapters on algorithms on graphs, turbo error control, low density parity check codes, and low density generator codes.

1101309448
Fundamentals of Codes, Graphs, and Iterative Decoding
Fundamentals of Codes, Graphs, and Iterative Decoding is an explanation of how to introduce local connectivity, and how to exploit simple structural descriptions. Chapter 1 provides an overview of Shannon theory and the basic tools of complexity theory, communication theory, and bounds on code construction. Chapters 2 - 4 provide an overview of "classical" error control coding, with an introduction to abstract algebra, and block and convolutional codes. Chapters 5 - 9 then proceed to systematically develop the key research results of the 1990s and early 2000s with an introduction to graph theory, followed by chapters on algorithms on graphs, turbo error control, low density parity check codes, and low density generator codes.

54.99 In Stock
Fundamentals of Codes, Graphs, and Iterative Decoding

Fundamentals of Codes, Graphs, and Iterative Decoding

by Stephen B. Wicker, Saejoon Kim
Fundamentals of Codes, Graphs, and Iterative Decoding

Fundamentals of Codes, Graphs, and Iterative Decoding

by Stephen B. Wicker, Saejoon Kim

Hardcover(2002)

$54.99 
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Overview

Fundamentals of Codes, Graphs, and Iterative Decoding is an explanation of how to introduce local connectivity, and how to exploit simple structural descriptions. Chapter 1 provides an overview of Shannon theory and the basic tools of complexity theory, communication theory, and bounds on code construction. Chapters 2 - 4 provide an overview of "classical" error control coding, with an introduction to abstract algebra, and block and convolutional codes. Chapters 5 - 9 then proceed to systematically develop the key research results of the 1990s and early 2000s with an introduction to graph theory, followed by chapters on algorithms on graphs, turbo error control, low density parity check codes, and low density generator codes.


Product Details

ISBN-13: 9781402072642
Publisher: Springer US
Publication date: 10/31/2002
Series: The Springer International Series in Engineering and Computer Science , #714
Edition description: 2002
Pages: 224
Product dimensions: 6.10(w) x 9.25(h) x 0.36(d)

Table of Contents

Digital Communication.- Abstract Algebra.- Linear Block Codes.- Convolutional and Concatenated Codes.- Elements of Graph Theory.- Algorithms on Graphs.- Turbo Decoding.- Low-Density Parity-Check Codes.- Low-Density Generator Codes.
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