Noise adaptive optimization of matrix initialization for frequency-domain independent component analysis

Author:

Yamada Makoto,Wichern Gordon,Kondo Kazunobu,Sugiyama Masashi,Sawada Hiroshi

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics

Reference21 articles.

1. Blind separation of convolved mixtures in the frequency domain;Smaragdis;Neurocomput.,1998

2. S. Ikeda, N. Murata, A method of ICA in time-frequency domain, in: Proceedings of International Workshop on Independent Component Analysis and Blind Signal Separation, 1999, pp. 365–371.

3. Blind source separation combining independent component analysis and beamforming;Saruwatari;EURASIP J. Appl. Signal Process.,2003

4. Blind separation of acoustic signals combining simo-model-based independent component analysis and binary masking;Mori;EURASIP J. Appl. Signal Process.,2006

5. Y. Mori, H. Saruwatari, T. Takatani, K. Shikano, T. Hiekata, T. Morita, ICA and binary-mask-based blind source separation with small directional microphones, in: Proceedings of ICA, 2006, pp. 649–657.

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