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)
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Front Matter
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Back Matter
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