Overview
- Focuses on the basic principles underlying code design
- Unifies topics of coding theory and wireless communications
- Coverage of space-time codes and multiple-antenna systems
- Includes supplementary material: sn.pub/extras
Part of the book series: Information Technology: Transmission, Processing and Storage (PSTE)
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Table of contents (14 chapters)
Keywords
About this book
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.
Bibliographic Information
Book Title: Coding for Wireless Channels
Authors: Ezio Biglieri
Series Title: Information Technology: Transmission, Processing and Storage
DOI: https://doi.org/10.1007/b136517
Publisher: Springer New York, NY
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag US 2005
Hardcover ISBN: 978-1-4020-8083-8Published: 24 May 2005
Softcover ISBN: 978-1-4419-5471-8Published: 08 December 2010
eBook ISBN: 978-1-4020-8084-5Published: 06 July 2006
Series ISSN: 1389-6938
Series E-ISSN: 1866-6361
Edition Number: 1
Number of Pages: XIV, 428
Number of Illustrations: 206 b/w illustrations
Topics: Communications Engineering, Networks, Coding and Information Theory, Signal, Image and Speech Processing, Electrical Engineering