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Information Technology: Transmission, Processing and Storage

Information Technology: Transmission, Processing and Storage

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Information Technology: Transmission, Processing and Storage

Biglieri, Ezio

Coding for Wireless Channels is an accessible introduction to the theoretical foundations of modern coding theory, with applications to wireless transmission systems. State-of-the-art coding theory is explained using soft (maximum-likelihood) decoding rather than algebraic decoding. Convolutional codes, trellis-coded modulation, turbo codes, and low-density parity-check (LDPC) codes are also covered, with specific reference to the graphical structures through which they can be described and decoded (trellises and factor graphs). A special section is devoted to multiple-antenna systems and space-time codes. The author assumes that the reader has a firm grasp of the concepts usually presented in senior-level courses on digital communications, information theory, and random processes.

Coding for Wireless Channels will serve as an advanced text for undergraduate and graduate level courses and as a reference for professionals in telecommunications.

Details

Published by: Springer

Publication Date: 2010-12-08

Format: Paperback

ISBN-13: 9781441954718

DOI: 10.1007/b136517

Dimensions: 254cm x178cm

Pages: 428

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