Coding for Wireless Channels

Front Cover
Springer Science & Business Media, Jul 6, 2006 - Technology & Engineering - 428 pages
0 Reviews

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.

 

What people are saying - Write a review

We haven't found any reviews in the usual places.

Contents

Channel models for digital transmission 19
18
Coding in a signal space
37
Fading channels
83
Trellis representation of codes 125
124
Convolutional codes
157
Trelliscoded modulation
187
Codes on graphs 235
234
LDPC and turbo codes
273
Multiple antennas
301
Facts from information theory 383
382
Shannon theorem on channel capacity
390
Facts from matrix theory
397
Random variables vectors and matrices
407
Notations and acronyms
421
Copyright

Other editions - View all

Common terms and phrases

About the author (2006)

Ezio Biglieri is an Adjunct Professor at the Universitat Pompeu Fabra, Barcelona, Spain, University of California, Los Angeles and King Saud University, Riyadh, KSA.