This is a first-of-a-kind book on this emerging topic. Kernel adaptive filtering will reshape the field of adaptive nonlinear signal processing.



The nice thing about this book is it follows closely the classical adaptive filtering theory (AFT). Therefore, you will find no difficulty to follow the material if you are already familiar with the classical AFT. It will be an excellent "mind-opening" complimentary textbook or reference for those who want to learn AFT.



It comes with many matlab simulations which demonstrate the power of kernel adaptive filters step-by-step. The matlab code can be downloaded from the author's website ([...]) and can be readily used to solve your own problems in a few days.



The reason I give it four-star rating is only because there are a few things untouched by the book. For example, the book doesn't discuss about pruning techniques which are very important in my opinion. Of course, this field is so new and we only feel lucky to have this one so timely.

Читать «Kernel Adaptive Filtering: A Comprehensive Introduction (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)»

Купить электронную версию