A Nonlinear Prediction Approach to the Blind Separation of Convolutive Mixtures-Reference-Cited by-同舟云学术

A Nonlinear Prediction Approach to the Blind Separation of Convolutive Mixtures

Published:2006-09-24 Issue:1 Volume:2007 Page:
ISSN:1687-6180
Container-title:EURASIP Journal on Advances in Signal Processing
language:en
Short-container-title:EURASIP J. Adv. Signal Process.

Author:

Suyama Ricardo,Duarte Leonardo Tomazeli,Ferrari Rafael,Rangel Leandro Elias Paiva,Attux Romis Ribeirode Faissol,Cavalcante Charles Casimiro,Von Zuben Fernando José,Romano João Marcos Travassos

Publisher

Springer Science and Business Media LLC

Link

http://link.springer.com/content/pdf/10.1155/2007/43860.pdf

Reference20 articles.

1. Hyvärinen A, Karhunen J, Oja E: Independent Component Analysis. John Wiley & Sons, New York, NY, USA; 2001.

2. Hérault J, Jutten C, Ans B: Détection de grandeurs primitives dans un message composite par une architecture de calcul neuromimétique en apprentissage non supervise. Actes du Xème Colloque (GRETSI '85), 1985, Nice, France 1017-1022.

3. Cichocki A, Amari S: Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications. John Wiley & Sons, New York, NY, USA; 2002.

4. Haykin S (Ed): Unsupervised Adaptive Filtering, Vol. I: Blind Source Separation. John Wiley & Sons, New York, NY, USA; 2000.

5. Papadias CB: Unsupervised receiver processing techniques for linear space-time equalization of wideband multiple input/multiple output channels. IEEE Transactions on Signal Processing 2004,52(2):472-482. 10.1109/TSP.2003.821108

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