Adaptive blind signal and image processing : (E-Book) learning algorithms and applications
Andrzej Cichocki, Shun-Ichi Amari
- Chichester : Wiley, cop. 2002
- xxxi, 554 s. : ill. + 1 CD-ROM
Introduction To Blind Signal Processing: Problems And Applications. Solving A System Of Algebraic Equations And Related Problems. Principal/Minor Component Analysis And Related Problems. Blind Decorrelation And SOS For Robust Blind Indentification. Sequential Blind Signal Extraction. Natural Gradient Approach To Independent Component Analysis Robust Techniques For BSS And ICA With Noisy Data. Locally Adaptive Algorithsm For ICA And Their Implementations. Multichannel Blind Deconvolution -Natural Gradient Approach. Estimating Functions And Superefficiency For ICA And Deconvolution Blind Filtering And Separation Using State-Space Approach. Nonlinear State Space Models -Semi-Blind Signal Processing.
This volume unifies and extends the theories of adaptive blind signal and image processing and provides practical and efficient algorithms for blind source separation, independent, principal and minor component analysis, and multichannel blind deconvolution (MBD) and equalization
0-471-60791-6 ;
Adaptive signal processing Algorithms Algorithms Algoritmer Machine learning Signal processing Signal processing Signalbehandling