Adaptive blind signal processing-neural network approaches
- 1 October 1998
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in Proceedings of the IEEE
- Vol. 86 (10) , 2026-2048
- https://doi.org/10.1109/5.720251
Abstract
Learning algorithms and underlying basic mathematical ideas are presented for the problem of adaptive blind signal processing, especially instantaneous blind separation and multichannel blind deconvolution/equalization of independent source signals. We discuss developments of adaptive learning algorithms based on the natural gradient approach and their properties concerning convergence, stability, and efficiency. Several promising schemas are proposed and reviewed in the paper. Emphasis is given to neural networks or adaptive filtering models and associated online adaptive nonlinear learning algorithms. Computer simulations illustrate the performances of the developed algorithms. Some results presented in this paper are new and are being published for the first time.Keywords
This publication has 77 references indexed in Scilit:
- The nonlinear PCA learning rule in independent component analysisNeurocomputing, 1997
- Modified Herault–Jutten Algorithms for Blind Separation of SourcesDigital Signal Processing, 1997
- Neural networks for blind decorrelation of signalsIEEE Transactions on Signal Processing, 1997
- Robust neural networks with on-line learning for blind identification and blind separation of sourcesIEEE Transactions on Circuits and Systems I: Regular Papers, 1996
- HIGH-ORDER CONTRASTS FOR SELF-ADAPTIVE SOURCE SEPARATIONInternational Journal of Adaptive Control and Signal Processing, 1996
- Multichannel signal separation: methods and analysisIEEE Transactions on Signal Processing, 1996
- EVAM: an eigenvector-based algorithm for multichannel blind deconvolution of input colored signalsIEEE Transactions on Signal Processing, 1995
- Waveform-preserving blind estimation of multiple independent sourcesIEEE Transactions on Signal Processing, 1993
- Indeterminacy and identifiability of blind identificationIEEE Transactions on Circuits and Systems, 1991
- Differential geometry of a parametric family of invertible linear systems—Riemannian metric, dual affine connections, and divergenceTheory of Computing Systems, 1987