Some Bibliography on ICA and sparse decomposition ================================================= - http://ica2001.ucsd.edu/index_files/proceedings.html Proceedings of the conference ICA2001 - http://www.kecl.ntt.co.jp/icl/signal/ica2003/cdrom/index.htm Proceedings of the conference ICA2003 - http://sig.enst.fr/~cardoso/jfbib.html Jean-François Cardoso, Blind signal separation: statistical principles - http://www.cis.hut.fi/~aapo/pub.html#FastICA A. Hyvärinen and E. Oja. Independent Component Analysis: Algorithms and Applications. - ICALAB Toolboxes - MATLAB packages for ICA, BSS and BSE www.bsp.brain.riken.go.jp/ICALAB/ Many usefull references can be found in the HELP page: www.bsp.brain.riken.go.jp/ICALAB/ICALABSignalProc/ //////////////////////// Dinh Tuan Pham - all the papers you see at http://www-lmc.imag.fr/lmc-sms/Dinh-Tuan.Pham/publics-triees.html //////////////////////////////////////// http://sig.enst.fr/~cardoso/jfbib.html Dinh-Tuan Pham and Jean-François Cardoso. Blind separation of instantaneous mixtures of non stationary sources. to appear in IEEE Trans. on Signal Processing Jean-François Cardoso, High-order contrasts for independent component analysis, in `Neural Computation', vol. 11, no 1, pp. 157--192, Jan. 1999. Jean-François Cardoso, Blind signal separation: statistical principles, Proceedings of the IEEE, vol. 90, n. 8, pp. 2009-20026, Oct. 98, special issue on blind identification and estimation, R.-W. Liu and L. Tong editors. Jean-François Cardoso and Antoine Souloumiac. Jacobi angles for simultaneous diagonalization. In SIAM Journal of Matrix Analysis and Applications, Vol. 17, No 1, Jan. 1996. Karim Abed Meraim, Adel Belouchrani, Jean-François Cardoso, and Éric Moulines. Asymptotic performance of second order blind source separation In Proc. ICASSP, volume 4, pages 277-280, April 1994. ////////////////////// Shoko Araki, Shoji Makino, Robert Aichner, Tsuyoki Nishikawa, Hiroshi Saruwatari "Blind Source Separation for convolutive mixtures of speech using subband processing". Proc. Workshop on Spectral Methods and Multirate Signal Processing (SMMSP) , Toulouse, September 2002. http://www.lnt.de/~aichner/publications.html /////////////////// http://www-stat.stanford.edu/~donoho/Reports/index.html 1995 "Atomic Decomposition by Basis Pursuit." with Scott Shaobing Chen and Michael Saunders. 2001 /////////////////////// http://www.cnl.salk.edu/~lewicki/ Lewicki, M.S. and Olshausen, B.A. (1998) ``A probabilistic framework for the adaptation and comparison of image codes.'' J. Opt. Soc. Am. A: Optics, Image Science, and Vision (submitted). Lewicki, M.S. and Sejnowski, T.J. (1998) ``Learning overcomplete representations.'' to appear in Neural Comp. Andrzej Cichocki: http://www.open.brain.riken.go.jp/~cia/recent.html 24.L. Zhang and A. Cichocki: Blind deconvolution/equalization using state-space models, in Neural Networks for Signal Processing VIII, IEEE Press, N.Y. 1998, Proceedings of the 1998 IEEE Workshop on Neural Networks for Signal Processing (NNSP'98), Cambridge,UK, August 31- September 2, 1998, pp. 123-131. 38.L. Zhang, and A. Cichocki: Blind deconvolution of dynamical systems: A state space approach, (an invited paper), Journal of Signal Processing, Vol. 4, No. 2, Mar. 2000, pp. 111-130. Tony F. Chan http://www.math.ucla.edu/~chan/papers.html (96-46) David M. Strong and Tony F. Chan, Spatially and Scale Adaptive Total Variation Based Regularization and Anisotropic Diffusion in Image Processing, November 1996 (96-45) Tony F. Chan and C.K. Wong, Total Variation Blind Deconvolution, November 1996 (96-38) Tony F. Chan and Pep Mulet, Iterative Methods for Total Variation Image Restoration, October 1996 http://www.cis.hut.fi/aapo/pub.html A. Hyvärinen. Fast and Robust Fixed-Point Algorithms for Independent Component Analysis IEEE Transactions on Neural Networks 10(3):626-634, 1999. http://sound.media.mit.edu/~paris/phd/ Redundancy Reduction for Computational Audition, a Unifying Approach. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % ICA 2003 % % http://www.kecl.ntt.co.jp/icl/signal/ica2003/cdrom/index.htm % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% ICA2003 Invited Talk 1: Scott C. Douglas (Southern Methodist University) [IT-1] Blind Source Separation and Independent Component Analysis: A Crossroads of Tools and Ideas (Abst) (PDF) (PS) Scott C. Douglas, pp.1-10 [L1A-2] Fast Algorithm for Estimating Mutual Information, Entropies and Score Functions (Abst) (PDF) Dinh-Tuan Pham, pp.17-22 [L1A-3] Identifiability and Separability of Linear ICA Models Revisited (Abst) (PDF) Jan Eriksson, Visa Koivunen, pp.23-27 [L1A-4] Independent Component Analysis of Largely Underdetermined Mixtures (Abst) (PDF) Lieven De Lathauwer, Bart De Moor, Joos Vandewalle, Jean-Francois Cardoso, pp.29-33 [P1A-08] Measuring Sparseness of Noisy Signals (Abst) (PDF) (PS) Juha Karvanen, Andrzej Cichocki, pp.125-130 [L1B-6] Blind Separation in Low Frequencies using Wavelet Analysis, Application to Artificial Vision (Abst) (PDF) Danielle Nuzillard, Sorin Curila, Mircea Curila, pp.77-82 [P1A-08] Measuring Sparseness of Noisy Signals (Abst) (PDF) (PS) Juha Karvanen, Andrzej Cichocki, pp.125-130 [SIS1A-1, Invited Paper] Advances in Nonlinear Blind Source Separation (Abst) (PDF) (PS) Christian Jutten, Juha Karhunen, pp.245-256 [P2B-05] On the Convergence Behavior of the FastICA Algorithm (Abst) (PDF) Scott C. Douglas, pp.409-414 [P2B-06] Handling Missing Data with Variational Bayesian Learning of ICA (Abst) (PDF) Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski, pp.415-420 [L2A-1] Combining Blind Source Extraction with Joint Approximate Diagonalization: Thin Algorithms for ICA (Abst) (PDF) Sergio A. Cruces-Alvarez, Andrzej Cichocki, pp.463-468 [L2A-2] A Linear Least-Squares Algorithm for Joint Diagonalization (Abst) (PDF) (PS) Andreas Ziehe, Pavel Laskov, Klaus-Robert Mueller, Guido Nolte, pp.469-474 [L2B-1] Subband Based Blind Source Separation with Appropriate Processing for Each Frequency Band (Abst) (PDF) Shoko Araki, Shoji Makino, Robert Aichner, Tsuyoki Nishikawa, Hiroshi Saruwatari, pp.499-504 [P3A-09] Blind Deconvolution and ICA with a Banded Mixing Matrix (Abst) (PDF) Sam T. Kaplan, Tadeusz J. Ulrych, pp.591-596 [P3B-10] Blind Source Separation using Order Statistics (Abst) (PDF) (PS) Jani Even, Eric Moisan, pp.663-668 - Special Invited Session 2B: ICA/BSS for Wireless Communication [SIS2B-1] First-Order Differential Beamforming and Joint-Process Estimation for Spatial Source Separation (Abst) (PDF) Pedro Go'mez-Vilda, Victor Nieto-Lluis, Agusti'n A'lvarez-Marquina, Rafael Marti'nez-Olalla, Francisco Rodri'guez-Dapena, Francisco Di'az-Pe'rez, Victoria Rodellar-Biarge, pp.721-726 [SIS2B-2] Blind Multi User Detection in DS-CDMA Systems using Natural Gradient Based Symbol Recovery Structures (Abst) (PDF) Khurram Waheed, Keyur Desai, Fathi M. Salem, pp.727-732 [SIS2B-3] Blind Identification for Fixed Fragment-Size Packet Transmissions with Distributed Redundancy over Multipath Fading Channels (Abst) (PDF) Shuichi Ohno, Georgios B. Giannakis, pp.733-738 [SIS2B-4] Inter-Cell Interference Cancellation in CDMA Array Systems by Independent Component Analysis (Abst) (PDF) Tapani Ristaniemi, Karthikesh Raju, Juha Karhunen, Erkki Oja, pp.739-744 [P4A-12] Bayesian ICA with Hidden Markov Model Sources (Abst) (PDF) (PS) Rizwan Ahmed Choudrey, Stephen Roberts, pp.809-814 [P4A-14] Simultaneous Matrix Diagonalization: the Overcomplete Case (Abst) (PDF) Lieven De Lathauwer, pp.821-825 Lecture 3A: Beyond ICA [L3A-1] Finding Clusters in Independent Component Analysis (Abst) (PDF) (PS) Francis R. Bach, Michael I. Jordan, pp.891-896 Lecture 3B: Convolutive Models and their Applications [L3B-1] A Robust Algorithm for Blind Separation of Convolutive Mixture of Sources (Abst) (PDF) Kiyotoshi Matsuoka, Satoshi Nakashima, pp.927-932 [L3B-2] Blind Separation of Multiple Convolved Colored Signals using Second-Order Statistics (Abst) (PDF) Mitsuru Kawamoto, Yujiro Inouye, pp.933-938 [L3B-3] A Joint Diagonalization Method for Convolutive Blind Separation of Nonstationary Sources in the Frequency Domain (Abst) (PDF) Wenwu Wang, Jonathon A. Chambers, Saeid Sanei, pp.939-944 [L3B-4] A Generalization of a Class of Blind Source Separation Algorithms for Convolutive Mixtures (Abst) (PDF) Herbert Buchner, Robert Aichner, Walter Kellermann, pp.945-950 [L3B-5] Geometrically Constrained ICA for Robust Separation of Sound Mixtures (Abst) (PDF) (PS) Mirko Knaak, Shoko Araki, Shoji Makino, pp.951-956 [L3B-6] Wiener Based Source Separation with HMM/GMM using a Single Sensor (Abst) (PDF) Laurent Benaroya, Fre'de'ric Bimbot, pp.957-961 Invited Talk 3: Aapo Hyva"rinen (Helsinki University of Technology) [IT-3] Extensions of ICA as Models of Natural Images and Visual Processing (Abst) (PDF) Aapo Hyva"rinen, Patrik O. Hoyer, Jarmo Hurri, pp.963-974 [P5A-02] Blind Separation of Convolutive Audio Mixtures using Nonstationarity (Abst) (PDF) Dinh-Tuan Pham, Christine Servie`re, Hakim Boumaraf, pp.981-986 [L1A-4] Independent Component Analysis of Largely Underdetermined Mixtures (Abst) (PDF) Lieven De Lathauwer, Bart De Moor, Joos Vandewalle, Jean-Francois Cardoso, pp.29-33 Invited Talk 4: Jean-Francois Cardoso (Centre National de la Recherche Scientifique) [IT-4] Independent Component Analysis of the Cosmic Microwave Background (Abst) (PDF) Jean-Francois Cardoso, Jacques Delabrouille, Guillaume Patanchon, pp.1111-1116 [P1A-07] Bounded Approximation for Score Function Selection (Abst) (PDF) (PS) Vincent Vigneron, Christian Jutten, pp.119-124 [P5A-06] Control Systems Analysis via Blind Source Deconvolution (Abst) (PDF) Kenji Sugimoto, Yoshito Kikkawa, pp.1005-1010