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

Rezensionen ( 0 )
Noch keine Rezensionen vorhanden.
Sie können die Erörterung eröffnen.
Zitate (0)
Sie können als Erste ein Zitat veröffentlichen.