Self-Organising Neural Networks: Independent Component Analysis and Blind Source Separation
From the Publisher: 
This volume presents the theory and applications of self-organising neural network models which perform the Independent Component Analysis (ICA) transformation and Blind Source Separation (BSS). It is largely self-contained, covering the fundamental concepts of information theory, higher order statistics and information geometry. Neural models for instantaneous and temporal BSS and their adaptation algorithms are presented and studied in detail.. "This volume will be of interest to postgraduate students and researchers in connections AI, signal processing and neural networks, as well as research and development workers, technology development engineers and research engineers.