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Modern Coding Theory

ISBN-10: 0521852293
ISBN-13: 9780521852296
Edition: 2008
List price: $113.00 Buy it from $24.69
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Description: Having trouble deciding which coding scheme to employ, how to design a new scheme, or how to improve an existing system? This summary of the state-of-the-art in iterative coding makes this decision more straightforward. With emphasis on the  More...

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Book details

List price: $113.00
Copyright year: 2008
Publisher: Cambridge University Press
Publication date: 3/17/2008
Binding: Hardcover
Pages: 590
Size: 7.25" wide x 10.00" long x 1.50" tall
Weight: 2.596
Language: English

Having trouble deciding which coding scheme to employ, how to design a new scheme, or how to improve an existing system? This summary of the state-of-the-art in iterative coding makes this decision more straightforward. With emphasis on the underlying theory, techniques to analyse and design practical iterative coding systems are presented. Using Gallager's original ensemble of LDPC codes, the basic concepts are extended for several general codes, including the practically important class of turbo codes. The simplicity of the binary erasure channel is exploited to develop analytical techniques and intuition, which are then applied to general channel models. A chapter on factor graphs helps to unify the important topics of information theory, coding and communication theory. Covering the most recent advances, this text is ideal for graduate students in electrical engineering and computer science, and practitioners. Additional resources, including instructor's solutions and figures, available online: www.cambridge.org/9780521852296.

R�diger Urbanke is a professor in the School of Computer and Communication Sciences at the Ecole Polytechnique F�d�rale de Lausanne, Switzerland (EPFL). He was awarded his Ph.D. in electrical engineering in 1995 from Washington University, after which he worked for Bell Labs until joining the faculty at EPFL in 1999. He is currently on the board for the 'Foundations and Trends in Communications and Information Theory' series for the IEEE.

Preface
Introduction
Factor graphs
Binary erasure channel
Binary memoryless symmetric channels
General channels
Convolutional codes and turbo codes
General ensembles
Expander codes and the flipping algorithm
Appendices
Encoding low-density parity-check codes
Efficient implementation of density evolution
Concentration inequalities
Formal power sums

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