Subband Adaptive Filtering
Theory and Implementation
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Beschreibung
Subband adaptive filtering is rapidly becoming one of the mosteffective techniques for reducing computational complexity andimproving the convergence rate of algorithms in adaptive signalprocessing applications. This book provides an introductory, yetextensive guide on the theory of various subband adaptive filteringtechniques. For beginners, the authors discuss the basic principlesthat underlie the design and implementation of subband adaptivefilters. For advanced readers, a comprehensive coverage of recentdevelopments, such as multiband tap-weight adaptation,delayless architectures, and filter-bank design methods forreducing band-edge effects are included. Several analysistechniques and complexity evaluation are also introduced in thisbook to provide better understanding of subband adaptive filtering.This book bridges the gaps between the mixed-domain naturesof subband adaptive filtering techniques and provides enough depthto the material augmented by many MATLAB® functions andexamples.
Key Features:
* Acts as a timely introduction for researchers, graduatestudents and engineers who want to design and deploy subbandadaptive filters in their research and applications.
* Bridges the gaps between two distinct domains: adaptive filtertheory and multirate signal processing.
* Uses a practical approach through MATLAB®-based sourceprograms on the accompanying CD.
* Includes more than 100 M-files, allowing readers to modify thecode for different algorithms and applications and to gain moreinsight into the theory and concepts of subband adaptivefilters.
Subband Adaptive Filtering is aimed primarily atpracticing engineers, as well as senior undergraduate and graduatestudents. It will also be of interest to researchers, technicalmanagers, and computer scientists.
Autor*in
Kong-Aik Lee
Themen in »Subband Adaptive Filtering«
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