Coding for Wireless Channels / Edition 1

Coding for Wireless Channels / Edition 1

by Ezio Biglieri
ISBN-10:
1402080832
ISBN-13:
9781402080838
Pub. Date:
05/24/2005
Publisher:
Springer US
ISBN-10:
1402080832
ISBN-13:
9781402080838
Pub. Date:
05/24/2005
Publisher:
Springer US
Coding for Wireless Channels / Edition 1

Coding for Wireless Channels / Edition 1

by Ezio Biglieri
$54.99
Current price is , Original price is $54.99. You

Overview

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.


Product Details

ISBN-13: 9781402080838
Publisher: Springer US
Publication date: 05/24/2005
Series: Information Technology: Transmission, Processing and Storage
Edition description: 2005
Pages: 428
Product dimensions: 7.01(w) x 10.00(h) x 0.04(d)

Table of Contents

Tour d’horizon.- Channel models for digital transmission.- Coding in a signal space.- Fading channels.- Trellis representation of codes.- Coding on a trellis: Convolutional codes.- Trellis-coded modulation.- Codes on graphs.- LDPC and turbo codes.- Multiple antennas.- Facts from information theory.- Facts from matrix theory.- Random variables, vectors, and matrices.- Computation of error probabilities.
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