Blind Equalization and System Identification

Batch Processing Algorithms, Performance and Applications

Chong-Yung Chi, Chih-Chun Feng, Chii-Horng Chen, Ching-Yung Chen

468 pages, parution le 21/12/2005

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Résumé

Discrete-time signal processing has had a momentous impact on advances in engineering and science over recent decades. The rapid progress of digital and mixed-signal integrated circuits in processing speed, functionality and cost-effectiveness has led to their ubiquitous employment in signal processing and transmission in diverse milieux.

The absence of training or pilot signals from many kinds of transmission - in, for example, speech analysis, seismic exploration and texture image analysis - necessitates the widespread use of blind equalization and system identification. There have been a great many algorithms developed for these purposes, working with one- or two-dimensional (2-d) signals and with single-input single-output (SISO) or multiple-input multiple-output (MIMO), real or complex systems. It is now time for a unified treatment of this subject, pointing out the common characteristics and the sometimes close relations of these algorithms as well as learning from their different perspectives. Blind Equalization and System Identification provides such a unified treatment presenting theory, performance analysis, simulation, implementation and applications.

Topics covered include:

SISO, MIMO and 2-d non-blind equalization (deconvolution) algorithms
SISO, MIMO and 2-d blind equalization (deconvolution) algorithms
SISO, MIMO and 2-d blind system identification algorithms
algorithm analyses and improvements
applications of SISO, MIMO and 2-d blind equalization/identification algorithms

Each chapter is completed by exercises and computer assignments designed to further understanding and to give practical experience with the algorithms discussed.

This is a textbook for graduate-level courses in discrete-time random processes, statistical signal processing, and blind equalization and system identification. It contains material which will also interest researchers and practicing engineers working in digital communications, source separation, speech processing, image processing, seismic exploration, sonar, radar and other, similar applications.

Sommaire

Introduction
Mathematical Background
Fundamentals of Statistical Processing
SISO Blind Equalization Algorithms
MIMO Blind Equalization Algorithms
Applications of MIMO Blind Equalization Algorithms
Two-Dimensional Blind Deconvolution Algorithms
Applications of Two-Dimensional Blind Deconvolution
Index

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Chong-Yung Chi, Chih-Chun Feng, Chii-Horng Chen, Ching-Yung Chen
Parution	21/12/2005
Nb. de pages	468
Format	15,5 x 23,5
Couverture	Broché
Poids	727g
Intérieur	Noir et Blanc
EAN13	9781846280221
ISBN13	978-1-84628-022-1