Subband decomposition independent component analysis and new performance criteria

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 5, Issue , 2004, Pages

  Tanaka, Toshihisa ^a   Cichocki, Andrzej ^a  

^a RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA REDUCTION; INFORMATION ANALYSIS; MATHEMATICAL MODELS; MATHEMATICAL OPERATORS; MATRIX ALGEBRA; PROBLEM SOLVING; SIGNAL PROCESSING;

ELECTROENCEPHALOGRAPH (EEG); INDEPENDENT COMPONENT ANALYSIS (ICA); SUBBAND DECOMPOSITION (SD); SUBBAND FILTERING;

BLIND SOURCE SEPARATION;

EID: 4544239721     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. A. Cichocki and S. Amari, Adaptive Blind Signal and Image Processing: Learning Algorithmsand Applications. England: John Wiley & Sons, 2002.
2. A. Hyvaärinen, J. Karhunen, and E. Oja, Independent Component Analysis. England: John Wiley & Sons, 2001.
3. A. Belouchrani, K. Abed-Meraim, J. Cardoso, and E. Moulines, "A blind source separation technique using second order statistics," IEEE Trans. Signal Processing, vol. 45, pp. 434-444, Feb. 1997.
4. S. Amari, T. Chen, and A. Cichocki, "Nonholonomic orthogonal learning algorithms for blind source separation," Neural Computation, vol. 12, pp. 1463-1484, 2000.
5. J. Karvanen and V. Koivunen, "Blind separation methods based on Pearson system and its extensions," Signal Processing, vol. 82, pp. 663-673, 2002.
6. A. Cichocki, S. Amari, K. Siwek, and T. Tanaka et al, "ICALAB toolboxes ver. 2.0." http://www.bsp.brain.riken.jp/ICALAB, 2003. RIKEN Brain Science Institute, Japan.