Robust Independent Component Analysis by Iterative Maximization of the Kurtosis Contrast With Algebraic Optimal Step Size
暂无分享,去创建一个
[1] D. Godard,et al. Self-Recovering Equalization and Carrier Tracking in Two-Dimensional Data Communication Systems , 1980, IEEE Trans. Commun..
[2] B. A. D. H. Brandwood. A complex gradient operator and its applica-tion in adaptive array theory , 1983 .
[3] F. A. Seiler,et al. Numerical Recipes in C: The Art of Scientific Computing , 1989 .
[4] Jitendra K. Tugnait,et al. Comments on 'New criteria for blind deconvolution of nonminimum phase systems (channels)' , 1992, IEEE Trans. Inf. Theory.
[5] J. Cardoso,et al. Blind beamforming for non-gaussian signals , 1993 .
[6] J. Cardoso. On the Performance of Orthogonal Source Separation Algorithms , 1994 .
[7] Pierre Comon,et al. Independent component analysis, A new concept? , 1994, Signal Process..
[8] Eric Moreau,et al. A one stage self-adaptive algorithm for source separation , 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.
[9] P. Comon. Tensor Diagonalization, A useful Tool in Signal Processing , 1994 .
[10] Nathalie Delfosse,et al. Adaptive blind separation of independent sources: A deflation approach , 1995, Signal Process..
[11] Gene H. Golub,et al. Matrix computations (3rd ed.) , 1996 .
[12] Jitendra K. Tugnait,et al. Identification and deconvolution of multichannel linear non-Gaussian processes using higher order statistics and inverse filter criteria , 1997, IEEE Trans. Signal Process..
[13] A. Hyvärinen,et al. One-unit contrast functions for independent component analysis: a statistical analysis , 1997 .
[14] Eric Moulines,et al. A blind source separation technique using second-order statistics , 1997, IEEE Trans. Signal Process..
[15] D. Chakrabarti,et al. A fast fixed - point algorithm for independent component analysis , 1997 .
[16] Pierre Comon,et al. Improved contrast dedicated to blind separation in communications , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[17] A. Hyvarinen,et al. One-unit contrast functions for independent component analysis: a statistical analysis , 1997, Neural Networks for Signal Processing VII. Proceedings of the 1997 IEEE Signal Processing Society Workshop.
[18] A. Kuzminskiy. A robust step size adaptation scheme for LMS adaptive filters , 1997, Proceedings of 13th International Conference on Digital Signal Processing.
[19] Philippe Garat,et al. Blind separation of mixture of independent sources through a quasi-maximum likelihood approach , 1997, IEEE Trans. Signal Process..
[20] P. Comon,et al. Blind separation of discrete sources , 1998, IEEE Signal Processing Letters.
[21] Shun-ichi Amari,et al. Adaptive blind signal processing-neural network approaches , 1998, Proc. IEEE.
[22] Shun-ichi Amari,et al. Natural Gradient Works Efficiently in Learning , 1998, Neural Computation.
[23] T. Ens,et al. Blind signal separation : statistical principles , 1998 .
[24] Erkki Oja,et al. An Experimental Comparison of Neural Algorithms for Independent Component Analysis and Blind Separation , 1999, Int. J. Neural Syst..
[25] Aapo Hyvärinen,et al. Fast and robust fixed-point algorithms for independent component analysis , 1999, IEEE Trans. Neural Networks.
[26] Jean-Franois Cardoso. High-Order Contrasts for Independent Component Analysis , 1999, Neural Computation.
[27] A. Nandi. Blind estimation using higher-order statistics , 1999 .
[28] Constantinos B. Papadias,et al. Globally convergent blind source separation based on a multiuser kurtosis maximization criterion , 2000, IEEE Trans. Signal Process..
[29] Zhi Ding,et al. Stationary points of a kurtosis maximization algorithm for blind signal separation and antenna beamforming , 2000, IEEE Trans. Signal Process..
[30] Aapo Hyvärinen,et al. c ○ World Scientific Publishing Company A FAST FIXED-POINT ALGORITHM FOR INDEPENDENT COMPONENT ANALYSIS OF COMPLEX VALUED SIGNALS , 2000 .
[31] V. Fuster,et al. ACC/AHA/ESC Guidelines for the Management of Patients With Atrial Fibrillation: Executive Summary A Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and the European Society of Cardiology Committee for Practice Guidelines and Policy Conference , 2001, Circulation.
[32] Tapani Ristaniemi,et al. Advanced ICA-based receivers for block fading DS-CDMA channels , 2002, Signal Process..
[33] Phillip A. Regalia. A finite-interval constant modulus algorithm , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[34] William H. Press,et al. Numerical recipes in C , 2002 .
[35] Phillip A. Regalia,et al. Monotonic convergence of fixed-point algorithms for ICA , 2003, IEEE Trans. Neural Networks.
[36] José Millet-Roig,et al. Atrial activity extraction for atrial fibrillation analysis using blind source separation , 2004, IEEE Transactions on Biomedical Engineering.
[37] Sergio Cruces,et al. From blind signal extraction to blind instantaneous signal separation: criteria, algorithms, and stability , 2004, IEEE Transactions on Neural Networks.
[38] A. Ferreol,et al. Comparative performance analysis of eight blind source separation methods on radiocommunications signals , 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).
[39] Pierre Comon,et al. Blind channel equalization with algebraic optimal step size , 2005, 2005 13th European Signal Processing Conference.
[40] Jacob Benesty,et al. Optimal step size of the adaptive multichannel LMS algorithm for blind SIMO identification , 2005, IEEE Signal Processing Letters.
[41] Pierre Comon,et al. Semi-blind constant modulus equalization with optimal step size , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..
[42] José Millet-Roig,et al. Spatiotemporal blind source separation approach to atrial activity estimation in atrial tachyarrhythmias , 2005, IEEE Transactions on Biomedical Engineering.
[43] P. Tichavský,et al. Efficient variant of algorithm fastica for independent component analysis attaining the cramer-RAO lower bound , 2005, IEEE/SP 13th Workshop on Statistical Signal Processing, 2005.
[44] Jonathon A. Chambers,et al. Fetal electrocardiogram extraction by sequential source separation in the wavelet domain , 2005, IEEE Transactions on Biomedical Engineering.
[45] Sergio Bermejo,et al. Finite sample effects in higher order statistics contrast functions for sequential blind source separation , 2005, IEEE Signal Processing Letters.
[46] Wai Lok Woo,et al. Nonlinear blind signal separation with intelligent controlled learning , 2005 .
[47] P. Comon,et al. Blind and semi-blind equalization based on the constant power criterion , 2005, IEEE Transactions on Signal Processing.
[48] P. Langley,et al. Analysis of surface electrocardiograms in atrial fibrillation: techniques, research, and clinical applications. , 2006, Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology.
[49] Erkki Oja,et al. Average Convergence Behavior of the FastICA Algorithm for Blind Source Separation , 2006, ICA.
[50] Erkki Oja,et al. Efficient Variant of Algorithm FastICA for Independent Component Analysis Attaining the CramÉr-Rao Lower Bound , 2006, IEEE Transactions on Neural Networks.
[51] Pierre Comon,et al. How fast is FastICA? , 2006, 2006 14th European Signal Processing Conference.
[52] Erkki Oja,et al. Performance analysis of the FastICA algorithm and Crame/spl acute/r-rao bounds for linear independent component analysis , 2006, IEEE Transactions on Signal Processing.
[53] Patrick A. Naylor,et al. Generalized Optimal Step-Size for Blind Multichannel LMS System Identification , 2006, IEEE Signal Processing Letters.
[54] Erkki Oja,et al. The FastICA Algorithm Revisited: Convergence Analysis , 2006, IEEE Transactions on Neural Networks.
[55] E. Oja,et al. Corrections to "Performance Analysis of the FastICA Algorithm and Cram´ er-Rao Bounds for Linear Independent Component Analysis", TSP 04/06 , 2007 .
[56] Changyuan Fan,et al. On the Convergence Behavior of the FastICA Algorithm with the Kurtosis Cost Function , 2007, Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007).
[57] J. Ornato,et al. ACC/AHA/ESC 2006 guidelines for the management of patients with atrial fibrillation--executive summary: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and the European Society of Cardiology Committee for Practice Guidelines (Writing Commit , 2006, Journal of the American College of Cardiology.
[58] Pierre Comon,et al. Comparative Speed Analysis of FastICA , 2007, ICA.
[59] Scott C. Douglas,et al. Fixed-Point Algorithms for the Blind Separation of Arbitrary Complex-Valued Non-Gaussian Signal Mixtures , 2007, EURASIP J. Adv. Signal Process..
[60] Sergio Bermejo,et al. Finite sample effects of the fast ICA algorithm , 2007, Neurocomputing.
[61] Tülay Adali,et al. Complex ICA by Negentropy Maximization , 2008, IEEE Transactions on Neural Networks.
[62] Tülay Adali,et al. On Extending the Complex FastICA Algorithm to Noncircular Sources , 2008, IEEE Transactions on Signal Processing.
[63] Pierre Comon,et al. Optimal Step-Size Constant Modulus Algorithm , 2008, IEEE Transactions on Communications.
[64] Pierre Comon,et al. Robust independent component analysis for blind source separation and extraction with application in electrocardiography , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[65] Hualiang Li,et al. A Class of Complex ICA Algorithms Based on the Kurtosis Cost Function , 2008, IEEE Transactions on Neural Networks.
[66] Pierre Comon,et al. ROBUST INDEPENDENT COMPONENT ANALYSIS , 2009 .
[67] Peter Tino,et al. IEEE Transactions on Neural Networks , 2009 .
[68] E. Oja,et al. Performance Analysis of the FastICA Algorithm and Cramér – Rao Bounds for Linear Independent Component Analysis , 2010 .
[69] Robert H. Halstead,et al. Matrix Computations , 2011, Encyclopedia of Parallel Computing.
[70] Seungjin Choi,et al. Independent Component Analysis , 2009, Handbook of Natural Computing.