Amari SI, Chen TP. (1997). Stability analysis of adaptive blind source separation Neural Networks Letter. 10

Amari SL, Cichocki A, Yang HH. (1996). A new learning algorithm for blind signal separation. Advances in Neural Information Processing Systems.. 8

Attias H. (1999). Independent factor analysis. Neural computation. 11 [PubMed]

Bell AJ, Sejnowski TJ. (1995). An information-maximization approach to blind separation and blind deconvolution. Neural computation. 7 [PubMed]

Cardoso JF. (1997). Infomax and maximum likelihood for source separation IEEE Letters On Signal Processing. 4

Cardoso JF. (1999). High-order contrasts for independent component analysis. Neural computation. 11 [PubMed]

Comon P. (1994). Independent component analysis, a new concept? Signal Processing. 36

Everson R, Roberts S. (1999). Independent component analysis: A flexible nonlinearity and decorrelating manifold approach. Neural computation. 11 [PubMed]

Girolami M. (1998). An alternative perspective on adaptive independent component analysis algorithms Neural computation. 10 [PubMed]

Lee TW, Girolami M, Sejnowski TJ. (1999). Independent component analysis using an extended infomax algorithm for mixed subgaussian and supergaussian sources. Neural computation. 11 [PubMed]

Liu R, Tong L, Inouye Y. (1993). Waveform-preserving blind estimation of multiple independent sources Signal Processing. 41

Moreau E, Macchi O. (1996). High-order contrasts for self-adaptive source separation International Journal Of Adaptive Control And Signal Processi. 10

Parra LC, Pearlmutter BA. (1996). A context-sensitive generalization of ICA International Conference on Neural Information Processing.

Stuart A, Ord J. (1994). Kendalls advanced theory of statistics Distribution theory. 1

Welling M, Weber M. (2001). A constrained EM algorithm for independent component analysis. Neural computation. 13 [PubMed]

Xu L. (1997). Bayesian ying-yang learning based ICA models Proc. 1997 IEEE Signal Processing Society Workshop on Neural Networks for Signal Processing VII.

Xu L, Amari SI, Cheung CC. (1998). Further results on nonlinearity and separtion capability of a liner mixture ICA method and learned lpm Proceedings of the IANN98.

Xu L, Amari SI, Cheung CC. (1998). Learned parametric mixture based ICA algorithm Neurocomputing. 22

Xu L, Amari SI, Yang H, Cheung C. (1997). Independent component analysis by the information-theoretic approach with mixture of densities Proc. of 1997 IEEE Intl. Conf on Neural Networks (IEEE-INNS IJCNN97).

Xu L, Cheung CC. (2000). Some global and local convergence analysis on the information-theoretic independent component analysis approach Neurocomputing. 30

Xu L, Yang HH, Amari SI. (1996). Signal source separation by mixtures: accumulative distribution functions or mixture of bell-shape density distribution functions Research proposal presented at FRONTIER FORUM.

Ma J, Liu Z, Xu L. (2005). A Further Result on the ICA One-Bit-Matching Conjecture Neural Comput. 17

Xu L. (2007). One-bit-matching theorem for ICA, convex-concave programming on polyhedral set, and distribution approximation for combinatorics. Neural computation. 19 [PubMed]