Unsupervised Adaptive Filtering - v. 1 : Blind Source Separation

Unsupervised adaptive filters let systems respond and adapt automatically to changing conditions without the need for human supervision.

With applications to signal processing, information theory, imaging, and remote sensing, among others, this is an area of intense research.

This book describes the current state of the art in the field.