Block Component Analysis, a New Concept for Blind Source Separation-Reference-Cited by-同舟云学术

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Block Component Analysis, a New Concept for Blind Source Separation

Published:2012 Issue: Volume: Page:1-8
ISSN:0302-9743
Container-title:Latent Variable Analysis and Signal Separation
language:
Short-container-title:

Author:

De Lathauwer Lieven

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-28551-6_1

Reference23 articles.

1. Bruckstein, A.M., Donoho, D.L., Elad, M.: From sparse solutions of systems of equations to sparse modeling of signals and images. SIAM Rev. 51(1), 34–81 (2009)

2. Candes, E.J., Romberg, J., Tao, T.: Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information. IEEE Trans. on Information Theory 52(2), 489–509 (2006)

3. Carroll, J.D., Chang, J.J.: Analysis of individual differences in multidimensional scaling via an n-way generalization of “Eckart–Young” decomposition. Psychometrika 35(3), 283–319 (1970)

4. Cichocki, A., Zdunek, R., Phan, A.H., Amari, S.I.: Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-way Data Analysis and Blind Source Separation. John Wiley & Sons (2009)

5. Comon, P.: Independent Component Analysis, a new concept? Signal Processing 36(3), 287–314 (1994)

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