Here is the listing of Best reference books on Adaptive Signal Processing.
|1. “Adaptive Filter Theory” by S. Haykin
Book Review: This book explains various concepts and algorithms pertaining to the field of adaptive filter theory. The book discusses fundamentals of discrete time signal processing, in depth understanding of adaptive filters, basics of wiener filters, least mean square algorithms, recursive least square algorithms and nonlinear adaptive filters. The book also includes various experiments that illustrate the theory and applications of LMS and RLS algorithms. The book is suitable for graduate courses in the field of adaptive signal processing.
|2. “Adaptive Signal Processing” by B. Widrow and S.D. Stearns|
|3. “Adaptive Signal Processing” by Tülay Adali and Simon Haykin
Book Review: The book presents a set of algorithms with stress being laid of applications and advances in theory that produce the expected results. The book first addresses the optimization problem in complex domain. The book also develops a framework that is based on complex valued processing. The book later focuses on multi channel processing challenges and complex valued signals. The book also covers the concepts of turbo processing, subspace domain, nonlinear sequential state estimation and speech bandwidth extension. The book is very useful for students and researchers working in the field of signal processing, sonar and biomedical engineering.
Sanfoundry Global Education & Learning Series – Best Reference Books!