Local Stability Analysis of Maximum Nongaussianity Estimation in Independent Component Analysis
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[1] Phillip A. Regalia,et al. Monotonic convergence of fixed-point algorithms for ICA , 2003, IEEE Trans. Neural Networks.
[2] E. Oja,et al. Independent Component Analysis , 2001 .
[3] Liqing Zhang,et al. Self-adaptive blind source separation based on activation functions adaptation , 2004, IEEE Transactions on Neural Networks.
[4] Lei Xu,et al. One-Bit-Matching ICA Theorem, Convex-Concave Programming, and Combinatorial Optimization , 2005, ISNN.
[5] Terrence J. Sejnowski,et al. Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Subgaussian and Supergaussian Sources , 1999, Neural Computation.
[6] Lei Xu,et al. One-Bit-Matching Conjecture for Independent Component Analysis , 2004, Neural Computation.
[7] Lei Xu,et al. Some global and local convergence analysis on the information-theoretic independent component analysis approach , 2000, Neurocomputing.
[8] Gang Wang,et al. Global Convergence of FastICA: Theoretical Analysis and Practical Considerations , 2005, ICNC.
[9] Andrzej Cichocki,et al. Stability Analysis of Learning Algorithms for Blind Source Separation , 1997, Neural Networks.
[10] Aapo Hyvärinen,et al. Fast and robust fixed-point algorithms for independent component analysis , 1999, IEEE Trans. Neural Networks.