F. Wang, H. Li, and R. Li
[1] A. Cichocki & S. Amari, Adaptive blind signal and image processing: Learning algorithms and applications (New York: John Wiley & Sons, 2002). [2] A. Hyvarinen, J. Karhunen, & E. Oja, Independent component analysis (New York: John Wiley & Sons, 2001). [3] P. Comon, Independent component analysis, a new concept? Signal Processing, 36 (3), 1994, 287–314. [4] A. Bell & T. Sejnowski, An information maximization approach to blind separation and blind deconvolution, Neural Computation, 7 (6), 1995, 1129–1159. [5] T.W. Lee, M. Girolami, & T. Sejnowski, Independent component analysis using an extend infomax algorithm for mixed sub-Gaussissn and super-Gaussian sources, Neural Computation, 11 (2), 1999, 417–441. [6] A. Hyvarinen & E. Oja, A fast fixed-point algorithm for independent component analysis, Neural Computation, 9 (7), 1998, 1483–1492. [7] F.S. Wang, H.W. Li, R. Li, & Y.T. Shen, Novel algorithm for independent component analysis with flexible score functions, 7th Int. Conf. Signal Processing Proceedings, IEEE Press, Beijing, China, 1, 2004, 132–135. [8] R. Boscolo, H. Pan, & V.P. Roychowdhury, Independent component analysis based on nonparametric density estimation, IEEE Transaction on Neural Networks, 15 (1), 2004, 55–65. [9] F.S. Wang, H.W. Li, R. Li, & Y.J. Zhang, Novel ICA algorithm with nonparametric estimation based on GGD kernel, International Journal of Innovative Computing, Information and Control, 2 (2), 2006, 427–440. [10] F.S. Wang, H.W. Li, & R. Li, Nonparametric adaptive kernel estimator for ICA algorithm, Journal of Computational Information Systems, 4 (4), 2008, 1687–1695. [11] Z.I. Botev, D.P. Kroese, & T. Taimre, Generalized cross-entropy methods with applications to rare-event simulation and optimization, Simulation: Transactions of the Society for Modeling and Simulation, 83(11), 2007, 785–806. [12] J.N. Hwang, S.R. Lay, & A. Lippman, Nonparametric multivariate density estimation: A comparative study, IEEE Transactions on Signal Processing, 42 (10), 1994, 2795–2810. [13] B.W. Silverman, Density estimation for statistics and data analysis (New York: Chapman and Hall, 1985). [14] M.P. Wand & M.C. Jones, Kernel smoothing (New York: Chapman & Hall, 1995). [15] S. Larsson & V. Thomee, Partial differential equations with numerical methods (Berlin Heidelberg: Springer, 2003). [16] F.R. Bach & M.I. Jordan, Kernel independent component analysis, Journal of Machine Learning Research, 3 (1), 2002, 1–48. [17] A. Cichocki, S. Amari, K. Siwek, T. Tanaka, et al., ICALAB toolboxes, http://www.bsp.brain.riken.jp/ICALAB.
Important Links:
Go Back