Transpose properties in the stability and performance of the classic adaptive algorithms for blind source separation and deconvolution-Reference-Cited by-同舟云学术

Transpose properties in the stability and performance of the classic adaptive algorithms for blind source separation and deconvolution

Published:2000-09 Issue:9 Volume:80 Page:1807-1822
ISSN:0165-1684
Container-title:Signal Processing
language:en
Short-container-title:Signal Processing

Author:

von Hoff Thomas P.,Lindgren Allen G.,Kaelin August N.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference15 articles.

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3. S. Amari, A. Cichocki, H.H. Yang, A new learning algorithm for blind signal separation, Advances in Neural Processing Systems, Vol. 8, MIT Press, Cambridge, MA, USA, 1996, pp. 757–763.

4. An information-maximisation approach to blind separation and blind deconvolution;Bell;Neural Comput.,1995

5. The invariant approach to source separation;Cardoso;NOLTA ’95,1995

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