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基本説明
Features: A single-volume reference for single-input, single-output and multiple-input, multipleoutput blind equalization simpler than for comparable texts based on an adaptive approach, especially for 2-d and MIMO systems.
Full Description
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.
Contents
Mathematical Background.- Fundamentals of Statistical Signal 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 Algorithms.
