Image Processing Reference
In-Depth Information
76.
Cardoso, J.F. and Souloumiac, A. (1993). Blind beamforming for non-Gaussian
Signals, IEE Proceedings-F . 140(6): 362-370.
77.
Pham, D.-T., Garrat, P., and Jutten, C. (1992). Separation of mixtures of indepen-
dent sources through a maximum likelihood approach. In: Proc. EUSIPCO,
771-774.
78.
Cardoso, J.F. and Laheld, B.H. (1996). Equivariant adaptive source separation,
IEEE Transactions on Signal Processing . 44: 3017-3030.
79.
Bell, A.J. and Sejnowski, T.J. (1995): An information-maximization approach to
blind separation and blind deconvolution. Neural Comput. 7: 1129-1159.
80.
Amari, S.-I., Cichocki, A., and Yang, A.A. (1996). A new learning algorithm for
blind source separation. in Advances in Neural Information Processing Systems
8, MIT Press, 757-763.
81.
Cichocki, A., Unbehauen, R., and Rummert, E. (1994). Robust learning algorithm
for blind separation of signals. Electron. Lett . 30(17): 1386-1387.
82.
Hyvarinen, A. and Oja, E. (1997). A fast fixed-point algorithm for independent
component analysis. Neural Comput. 9: 1483-1492.
83.
Hyvärinen, A., Karhunen, J., and Oja, E. (2001). Independent Component Anal-
ysis . New York: Wiley.
84.
Cichocki, A. and Unbehauen, R. (1996). Robust neural networks with on-line
learning for blind identification and blind separation of sources. IEEE Trans. On
Circuits and Systems . 43(11): 894-906.
85.
Lee, W.T., Girolami, M., and Sejnowski, T.J. (1999). Independent component
analysis using an extended InfoMax algorithm for mixed sub-Gaussian and super-
Gaussian sources. Neural Comput . 11: 417-441.
86.
Hyavrynen, A. and Oja, E. (2000). Independent component analysis: algorithms
and applications. Neural Netw . 13: 441-430.
87.
Karhunen, J., Cichocki, A., Kasprzak, W., and Pajunen, P. (1997). On neural blind
separation with noise suppression and redundancy reduction. Intl. J. Neural Syst .
8(2): 219-237.
88.
Roberts, S. (1998). Independent component analysis: source assessment and
separation, a Bayesian approach. IEEE Proceedings — Vision, Image and Signal
Processing . 145: 149-154.
89.
Kaas, R. and Raftery, A. (1993). Bayes Factors and Model Uncertainty. Technical
Report 254, University of Washington, Seattle.
Search WWH ::




Custom Search