"This text offers both "classical" coding theory - such as Hamming, BCH, Reed-Solomon, Reed-Muller, and convolution codes - as well as modern codes and decoding methods, including turbo codes, LDPC codes, repeat-accumulate codes, space time codes, factor graphs, soft decision decoding, Guruswami-Sudan decoding. EXIT charts, and iterative decoding, Theoretical complements on performance and bounds are presented. Coding is also put into its communications and information theoretic context and connections are drawn to public key cryptosystems." "Ideal as a classroom resource and a professional reference, this thorough guide will benefit electrical and computer engineers, mathematicians, students, researchers, and scientists."--BOOK JACKET.
Includes bibliographical references (p. [739]-749) and index.