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Signal Processing and Optimization for Transceiver Systems

ISBN: 9780521760799 | 0521760798
Edition: 1st
Format: Hardcover
Publisher: Cambridge University Press
Pub. Date: 4/30/2010

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SummaryTable of ContentsAuthor Biography
Providing the first complete treatment of MIMO transceiver optimization, this self-contained book includes numerous examples and illustrations to demonstrate key concepts. Beginning with a review of communication fundamentals, it also provides a detailed study of joint transceiver optimization, plus crucial background material such as Schur convex functions and matrix calculus.

Presenting the first complete treatment of MIMO transceiver optimization, this self-contained book provides all the mathematical informatio... MORE
... MORE
Communication Fundamentals
Introduction
Review of basic ideas from digital communication
Digital communication systems and filter banks
Discrete time representations
Classical transceiver techniques
Channel capacity
Channel equalization with transmitter redundancy
The lazy precoder with a zero-forcing equalizer
Transceiver Optimization
History and outline
Single-input single-output transceiver optimization
Optimal transceivers for diagonal channels
MMSE transceivers with zero-forcing equalizers
MMSE transceivers without zero forcing
Bit allocation and power minimization
Transceivers with orthonormal precoders
Minimization of error probability in transceivers
Optimization of cyclic prefix transceivers
Optimization of zero padded systems
Transceivers with decision feedback equalizers
Mathematical Background
Matrix differentiation
Convexity, Schur convexity and majorization theory
Optimization with equality and inequality constraints
Appendices
Inner products, norms, and inequalities
Matrices: a brief overview
Singular value decomposition
Properties of pseudocirculant matrices
Random processes
Wiener filtering
Review of concepts from sampling theory
Euclid's algorithm
Transceiver optimization
Summary and tables
Glossary and acronyms
Bibliography
Table of Contents provided by Publisher. All Rights Reserved.
P. P. Vaidyanathan is a professor of Electrical Engineering at the California Institute of Technology, where he has been a faculty member since 1983. He is an IEEE Fellow and has co-authored over 400 technical papers and two previous books in the area of signal processing. He has received numerous awards, including four awards for journal papers, the Award for Excellence in Teaching at the California Institute of Technology three times, and the Technical Achievement Award of the IEEE Signal Processing Society.
See-May Phoong is a Professor in the Graduate Institute of Communication Engineering and the Department of Electrical Engineering at the National Taiwan University. He is a recipient of the Charles H. Wilts Prize for outstanding independent doctoral research at the California institute of Technology and the Chinese Institute of Electrical Engineering's Outstanding Youth Electrical Engineer Award.
Yuan-Pei Lin is a Professor in Electrical Engineering at the National Chiao Tung University, Taiwan. She is a recipient of the Ta-You Wu Memorial Award, the Chinese Institute of Electrical Engineering's Outstanding Youth Electrical Engineer Award, and of the Chinese Automatic Control Society's Young Engineer in Automatic Control Award.


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