Independent component analysis by complex nonlinearities

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

Volumn 5, Issue , 2004, Pages

  Adali, Tülay ^a   Kim, Taehwan ^b   Calhoun, Vince ^c,d  

^a UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

^b MITRE CORPORATION   (United States)

^c INSTITUTE OF LIVING   (United States)

^d YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HYPERBOLIC TANGENT FUNCTIONS; INDEPENDENT COMPONENT ANALYSIS (ICA); NONLINEAR FUNCTIONS; NONLINEARITIES;

APPROXIMATION THEORY; DATA REDUCTION; EIGENVALUES AND EIGENFUNCTIONS; FUNCTIONS; MAGNETIC RESONANCE IMAGING; NATURAL FREQUENCIES; OPTIMIZATION; PROBLEM SOLVING; RANDOM PROCESSES; STATISTICAL METHODS; TENSORS;

LARGE SCALE SYSTEMS;

EID: 4544275871     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. S-I. Amari and J.-F. Cardoso, "Blind source separation - semiparametric statistical approach," IEEE Trans. Acoust. Speech and Sig. Proc., vol. 45, no. 11, pp. 2692-2700, 1997.
2. J. Annemüller, T. J. Sejnowski, and S. Makeig, "Complex spectral-domain independent component analysis of electroencephalographic data," in Proc. ICA Workshop, Nara, Japan, March 2003.
3. A. J. Bell and T. J. Sejnowski, "An information maximisation approach to blind separation and blind deconvolution," Neural Comput., vol. 7, pp. 1129-1159, 1995.
4. E. Bingham and A. Hyvärinen, "A fast fixed-point algorithm for independent component analysis of complex-valued signals," Int. J. Neural Systems, 10(1):1, pp. 1-8, 2000.
5. V. Calhoun and T. Adali, "Complex Infomax: Convergence and approximation of Infomax with complex nonlinearities," in Proc. NNSP, Martigny, Switzerland, Sep. 2002.
6. J.-F. Cardoso, and A. Souloumiac, "Blind beamforming for non-Gaussian signals," IEE Proc. Radar Signal Proc., vol. 140, no., 6, pp. 362-370, 1993.
7. R.V. Churchill, J.W. Brown, and R.F. Verhey, Complex Variables and Applications, McGraw Hill, 1976.
8. A. Cichocki and R. Unbehauen, "Robust neural networks with on-line learning for blind identification and blind separation of sources," IEEE Trans. Circuits Syst.-I: Fund. Theory Apps., vol. 43, no. 11, pp. 894-906, 1996.
9. T. Kim and T. Adali, "Approximation by fully-complex multilayer perceptrons," Neural Computation, vol. 15, no. 7, pp. 1641-1666, 2003.
10. T-W. Lee, M. Girolami, and T.J. Sejnowski, "Independent component analysis using an extended Infomax algorithm for mixed sub-Gaussian and super-Gaussian sources, Neural Computation, vol. 11, no. 2, pp. 417-441, 1999.
11. H. Sawada, R. Mukai, S. Araki, and S. Makino, A polar-coordinate based activation function for frequency domain blind source separation," in Proc. ICASSP, Orlando, FL, May 2002, pp. I-1001-I-1004.
12. P. Smaragdis, "Blind Separation of Convolved Mixtures in the Frequency Domain," Neurocomputing, vol. 22, pp. 21-34, 1998.