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Blind Equalization and System Identification: Batch Processing Algorithms, Performance and Applications

by Chong-Yung Chi

Springer

Paperback or Softback 469 pages Dec 12, 2005

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The absence of training signals from many kinds of transmission necessitates the widespread use of blind equalization and system identification. There have been many algorithms developed for these purposes, working with one- or two-dimensional signals and with single-input single-output or multiple-input multiple-output, real or complex systems. It is now time for a unified treatment of this subject, pointing out the common characteristics 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. This is a textbook for graduate courses in discrete-time random processes, statistical signal processing, and blind equalization and system identification. It contains material which will also interest researchers and engineers working in digital communications, source separation, speech processing, and other, similar applications.
Author:
Chong-Yung Chi
Publisher:
Springer
Publication Date:
Dec 12, 2005
Number of pages:
469 pages
Binding:
Paperback or Softback
ISBN-10:
1846280222
ISBN-13:
9781846280221