Performance Analysis of Linear Codes under Maximum-Likelihood Decoding: A Tutorial (Foundations and Trends in Communications an
Performance Analysis of Linear Codes under Maximum-Likelihood Decoding: A Tutorial (Foundations and Trends in Communications and Information Theory) By Igal Sason, Shlomo Shamai
2006 | 236 Pages | ISBN: 1933019328 | PDF | 2 MB
2006 | 236 Pages | ISBN: 1933019328 | PDF | 2 MB
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.