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Adaptive blind signal processing-neural network approaches
1998
Proceedings of the IEEE
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 recent 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
doi:10.1109/5.720251
fatcat:jg337aeuxnd3rec634qd3qjfde