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Subband Adaptive Filtering: Theory and=20 Implementation

Kong-Aik Lee
Institute for = Infocomm=20 Research, Singapore

Woon-Seng Gan
Nanyang = Technological=20 University, Singapore

Sen M. Kuo,
Northern = Illinois=20 University, USA

Subband adaptive filtering is rapidly becoming one of the most = effective=20 techniques for reducing computational complexity and improving the = convergence=20 rate of algorithms in adaptive signal processing applications. This book = provides an introductory, yet extensive guide on the theory of various = subband=20 adaptive filtering techniques. For beginners, the authors discuss the = basic=20 principles that underlie the design and implementation of subband = adaptive=20 filters. For advanced readers, a comprehensive coverage of recent = developments,=20 such as multiband tap-weight adaptation, delayless architectures, and=20 filter-bank design methods for reducing band-edge effects are included. = Several=20 analysis techniques and complexity evaluation are also introduced in = this book=20 to provide better understanding of subband adaptive filtering. This book = bridges=20 the gaps between the mixed-domain natures of subband adaptive filtering=20 techniques and provides enough depth to the material augmented by many = MATLAB=20 functions and examples.

Key features:

Acts as a timely introduction for researchers, graduate students = and=20 engineers who want to design and deploy subband adaptive filters in = their=20 research and applications.=20
Bridges the gaps between two distinct domains: adaptive filter = theory and=20 multirate signal processing.=20
Uses a practical approach through MATLAB-based source programs on = the=20 accompanying CD.=20
Includes more than 100 M-files, allowing readers to modify the = code for=20 different algorithms and applications and to gain more insight into = the theory=20 and concepts of subband adaptive filters.

Subband Adaptive Filtering is aimed primarily at practicing = engineers, as=20 well as senior undergraduate and graduate students. It will also be of = interest=20 to researchers, technical managers, and computer = scientists.