Blind Equalization and System Identification

Blind Equalization and System Identification

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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. qBlind Equalization and System Identificationq 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.... practicing professionals who are working in the areas of digital communications, statistical signal processing, source separation, ... Chapters 2 and 3 review some requisite background mathematics and statistical signal processing for ease of grasping ... for ease of understanding Chapters 5 through 8, while Chapters 5 and 6 can be read independently of Chapters 7 and 8, and vice versa. ... The solution manual of homework problems can be obtained by contacting the publisher.

Title:Blind Equalization and System Identification
Author:Chong-Yung Chi, Chih-Chun Feng, Chen Chii-Horng, Ching-Yung Chen
Publisher:Springer Science & Business Media - 2006-05-20


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