Author:
Shen Hao,Kleinsteuber Martin
Publisher
Springer Berlin Heidelberg
Reference11 articles.
1. Cardoso, J.F.: Multidimensional independent component analysis. In: Proceedings of the 23rd IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 1998), Seattle, WA, USA, pp. 1941–1944 (1998)
2. Hyvärinen, A., Hoyer, P.O.: Emergence of phase and shift invariant features by decomposition of natural images into independent feature subspaces. Neural Computation 12(7), 1705–1720 (2000)
3. Araki, S., Mukai, R., Makino, S., Nishikawa, T., Saruwatari, H.: The fundamental limitation of frequency domain blind source separation for convolutive mixtures of speech. IEEE Transactions on Speech and Audio Processing 11(2), 109–116 (2003)
4. Lee, I., Kim, T., Lee, T.W.: Independent vector analysis for convolutive blind speech separation. In: Makino, S., Lee, T.W., Sawada, H. (eds.) Blind Speech Separation. Signals and Communication Technology, pp. 169–192. Springer, Netherlands (2007)
5. Kim, T.: Real-time independent vector analysis for convolutive blind source separation. IEEE Transactions on Circuits and Systems Part I 57(7), 1431–1438 (2010)
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