Item description for Performance Analysis of Linear Codes under Maximum-Likelihood Decoding: A Tutorial (Foundations and Trends(R) in Communications and Information Theory) by Igal Sason...
Performance Analysis of Linear Codes under Maximum-Likelihood Decoding: A Tutorial focuses on the performance evaluation of linear codes under optimal maximum-likelihood (ML) decoding. Though the ML decoding algorithm is prohibitively complex for most practical codes, their performance analysis under ML decoding allows to predict their performance without resorting to computer simulations. Performance Analysis of Linear Codes under Maximum-Likelihood Decoding: A Tutorial is a comprehensive introduction to this important topic for students, practitioners and researchers working in communications and information theory.
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Est. Packaging Dimensions: Length: 9.13" Width: 6.06" Height: 0.55" Weight: 0.75 lbs.
Release Date Jun 20, 2006
Publisher Now Publishers Inc
ISBN 1933019328 ISBN13 9781933019321
Availability 58 units. Availability accurate as of Jan 22, 2017 01:30.
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