Independent Component and Vector Analysis

Author:

Sawada Hiroshi1,Koldovský Zbyněk2

Affiliation:

1. NTT Communication Science Laboratories; Japan

2. Technical University of Liberec; Czech Republic

Publisher

John Wiley & Sons Ltd

Reference71 articles.

1. Diversity in independent component and vector analyses: Identifiability, algorithms, and applications in medical imaging;Adalı;IEEE Signal Processing Magazine,2014

2. Amari , S. Cichocki , A. Yang , H.H. 1996 A new learning algorithm for blind signal separation Proceedings of Neural Information Processing Systems 757 763

3. Anemüller , J. Kollmeier , B. 2000 Amplitude modulation decorrelation for convolutive blind source separation Proceedings of International Conference on Independent Component Analysis and Signal Separation 215 220

4. Complex independent component analysis of frequency-domain electroencephalographic data;Anemüller;Neural Networks,2003

5. The fundamental limitation of frequency domain blind source separation for convolutive mixtures of speech;Araki;IEEE Transactions on Audio, Speech, and Language Processing,2003

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