Independent component analysis: algorithms and applications
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Amari, 1996
Back, 1998, A first application of independent component analysis to extracting structure from stock returns, International Journal on Neural Systems, 8, 473, 10.1142/S0129065797000458
Bell, 1995, An information-maximization approach to blind separation and blind deconvolution, Neural Computation, 7, 1129, 10.1162/neco.1995.7.6.1129
Bell, 1997, The ‘independent components’ of natural scenes are edge filters, Vision Research, 37, 3327, 10.1016/S0042-6989(97)00121-1
Cardoso, 1997, Infomax and maximum likelihood for source separation, IEEE Letters on Signal Processing, 4, 112, 10.1109/97.566704
Cardoso, 1996, Equivariant adaptive source separation, IEEE Transactions on Signal Processing, 44, 3017, 10.1109/78.553476
Cichocki, 1996, Robust neural networks with on-line learning for blind identification and blind separation of sources, IEEE Transactions on Circuits and Systems, 43, 894, 10.1109/81.542280
Comon, 1994, Independent component analysis—a new concept?, Signal Processing, 36, 287, 10.1016/0165-1684(94)90029-9
Cover, 1991
Cristescu, R., Ristaniemi, T., Joutsensalo, J., & Karhunen, J. (2000). Delay estimation in CDMA communications using a Fast ICA algorithm. Proceedings of the International Workshop on Independent Component Analysis and Blind Signal Separation (ICA2000). Helsinki, Finland. In press.
Delfosse, 1995, Adaptive blind separation of independent sources: a deflation approach, Signal Processing, 45, 59, 10.1016/0165-1684(95)00042-C
Donoho, 1995, Wavelet shrinkage: asymptopia?, Journal of the Royal Statistical Society, Series B, 57, 301
Friedman, 1987, Exploratory projection pursuit, Journal of the American Statistical Association, 82, 249, 10.2307/2289161
Friedman, 1974, A projection pursuit algorithm for exploratory data analysis, IEEE Transactions of Computers, c-23, 881, 10.1109/T-C.1974.224051
Giannakopoulos, X., Karhunen, J., & Oja, E. (1998). Experimental comparison of neural ICA algorithms. Proceedings of the International Conference on Artificial Neural Networks (ICANN’98) (pp. 651–656). Skövde, Sweden.
Gonzalez, 1987
Hyvärinen, 1998, Independent component analysis in the presence of Gaussian noise by maximizing joint likelihood, Neurocomputing, 22, 49, 10.1016/S0925-2312(98)00049-6
Hyvärinen, 1998
Hyvärinen, 1999, Fast and robust fixed-point algorithms for independent component analysis, IEEE Transactions on Neural Networks, 10, 626, 10.1109/72.761722
Hyvärinen, 1999, The fixed-point algorithm and maximum likelihood estimation for independent component analysis, Neural Processing Letters, 10, 1, 10.1023/A:1018647011077
Hyvärinen, 1999, Gaussian moments for noisy independent component analysis, IEEE Signal Processing Letters, 6, 145, 10.1109/97.763148
Hyvärinen, 1999, Sparse code shrinkage: denoising of nonGaussian data by maximum likelihood estimation, Neural Computation, 11, 1739, 10.1162/089976699300016214
Hyvärinen, 1999, Survey on independent component analysis, Neural Computing Surveys, 2, 94
Hyvärinen, 1997, A fast fixed-point algorithm for independent component analysis, Neural Computation, 9, 1483, 10.1162/neco.1997.9.7.1483
Hyvärinen, 1998, Independent component analysis by general nonlinear Hebbian-like learning rules, Signal Processing, 64, 301, 10.1016/S0165-1684(97)00197-7
Hyvärinen, A., Särelä, J., & Vigário, R. (1999). Spikes and bumps: Artefacts generated by independent component analysis with insufficient sample size. Proceedings of the International Workshop on Independent Component Analysis and Signal Separation (ICA’99) (pp. 425–429). Aussois, France.
Hyvärinen, A., Hoyer, P. O., & Oja, E. (2000). Image denoising by sparse code shrinkage. In S. Haykin & B. Kosko (Eds.), New York: IEEE Press (in press).
Jones, 1987, What is projection pursuit?, Journal of the Royal Statistical Society, Series A, 150, 1, 10.2307/2981662
Jutten, 1991, Blind separation of sources, part I: an adaptive algorithm based on neuromimetic architecture, Signal Processing, 24, 1, 10.1016/0165-1684(91)90079-X
Karhunen, 1997, A class of neural networks for independent component analysis, IEEE Transactions on Neural Networks, 8, 486, 10.1109/72.572090
Kiviluoto, K., & Oja, E. (1998). Independent component analysis for parallel financial time series. Proceedings of the International Conference on Neural Information Processing (ICONIP’98) Vol. 2 (pp. 895–898). Tokyo, Japan.
Lee, 1999, Independent component analysis using an extended infomax algorithm for mixed sub-Gaussian and super-Gaussian sources, Neural Computation, 11, 417, 10.1162/089976699300016719
Luenberger, 1969
Makeig, 1996
Mallat, 1989, A theory for multiresolution signal decomposition: the wavelet representation, IEEE Transactions on PAMI, 11, 674, 10.1109/34.192463
Nadal, 1994, Non-linear neurons in the low noise limit: a factorial code maximizes information transfer, Network, 5, 565, 10.1088/0954-898X/5/4/008
Olshausen, 1996, Emergence of simple-cell receptive field properties by learning a sparse code for natural images, Nature, 381, 607, 10.1038/381607a0
Papoulis, 1991
Pearlmutter, 1997
Pham, D.-T., Garrat, P., & Jutten, C. (1992). Separation of a mixture of independent sources through a maximum likelihood approach. Proceedings EUSIPCO (pp. 771–774).
Ristaniemi, T., & Joutsensalo, J. (1999). On the performance of blind source separation in CDMA downlink. Proceedings of the International Workshop on Independent Component Analysis and Signal Separation (ICA ’99) (pp. 437–441). Aussois, France.
Vigário, 1997, Extraction of ocular artifacts from EEG using independent component analysis, Electroencephalography and Clinical Neurophysiology, 103, 395, 10.1016/S0013-4694(97)00042-8
Vigário, 1998