A complete, one-stop reference on the state of the art of unsupervised adaptive filteringWhile unsupervised adaptive filtering has its roots in the 1960s, more recent advances in signal processing, in
State-of-the-art coverage of Kalman filter methods for the design of neural networksThis self-contained book consists of seven chapters by expert contributors that discuss Kalman filtering as applied
This collaborative work presents the results of over twenty years of pioneering research by Professor Simon Haykin and his colleagues, dealing with the use of adaptive radar signal processing to accou
Edited by the original inventor of the technology.Includes contributions by the foremost experts in the field.The only book to cover these topics together.
