Robust Sparse Component Analysis Based on a Generalized Hough Transform
暂无分享,去创建一个
[1] Fabian J. Theis,et al. Optimization Algorithms for Sparse Representations and Applications , 2006 .
[2] Fabian J. Theis,et al. Median-based clustering for underdetermined blind signal processing , 2006, IEEE Signal Processing Letters.
[3] Richard O. Duda,et al. Use of the Hough transformation to detect lines and curves in pictures , 1972, CACM.
[4] V. Koivunen,et al. Identifiability and Separability of Linear Ica Models Revisited , 2003 .
[5] Terrence J. Sejnowski,et al. Blind source separation of more sources than mixtures using overcomplete representations , 1999, IEEE Signal Processing Letters.
[6] D. Chakrabarti,et al. A fast fixed - point algorithm for independent component analysis , 1997 .
[7] Graduate School. Department of Mathematics Why study mathematics ? , 2008 .
[8] Juan K. Lin,et al. Feature extraction approach to blind source separation , 1997, Neural Networks for Signal Processing VII. Proceedings of the 1997 IEEE Signal Processing Society Workshop.
[9] Barak A. Pearlmutter,et al. Blind Source Separation by Sparse Decomposition in a Signal Dictionary , 2001, Neural Computation.
[10] Fabian J. Theis,et al. Sparse component analysis and blind source separation of underdetermined mixtures , 2005, IEEE Transactions on Neural Networks.
[11] Michael A. Saunders,et al. Atomic Decomposition by Basis Pursuit , 1998, SIAM J. Sci. Comput..
[12] Barak A. Pearlmutter,et al. Blind source separation by sparse decomposition , 2000, SPIE Defense + Commercial Sensing.
[13] Fabian J. Theis,et al. A geometric algorithm for overcomplete linear ICA , 2004, Neurocomputing.
[14] Paul S. Bradley,et al. k-Plane Clustering , 2000, J. Glob. Optim..
[15] Fabian J. Theis,et al. On the use of sparse signal decomposition in the analysis of multi-channel surface electromyograms , 2006, Signal Process..
[16] Andrzej Cichocki,et al. Adaptive Blind Signal and Image Processing - Learning Algorithms and Applications , 2002 .
[17] Fathi M. Salem,et al. ALGEBRAIC OVERCOMPLETE INDEPENDENT COMPONENT ANALYSIS , 2003 .
[18] Sergio Barbarossa,et al. Analysis of multicomponent LFM signals by a combined Wigner-Hough transform , 1995, IEEE Trans. Signal Process..
[19] Assaf Zeevi,et al. The Hough transform estimator , 2004 .
[20] Fabian J. Theis,et al. A New Concept for Separability Problems in Blind Source Separation , 2004, Neural Computation.
[21] Pedro J. Ballester. Applications of the Hough Transform in Spectroscopy , 1994 .
[22] P.V.C. Hough,et al. Machine Analysis of Bubble Chamber Pictures , 1959 .
[23] Abdelhak M. Zoubir,et al. Direction finding of nonstationary signals using a time-frequency Hough transform , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..
[24] Peter J. Rousseeuw,et al. Robust Regression and Outlier Detection , 2005, Wiley Series in Probability and Statistics.
[25] Fabian J. Theis,et al. Sparse Component Analysis: a New Tool for Data Mining , 2004 .
[26] Andrzej Cichocki,et al. Adaptive blind signal and image processing , 2002 .
[27] Dana H. Ballard,et al. Generalizing the Hough transform to detect arbitrary shapes , 1981, Pattern Recognit..
[28] Fabian J. Theis,et al. Robust overcomplete matrix recovery for sparse sources using a generalized Hough transform , 2004, ESANN.
[29] Erkki Oja,et al. Independent Component Analysis , 2001 .
[30] Pierre Comon,et al. Independent component analysis, A new concept? , 1994, Signal Process..
[31] Michael Elad,et al. Optimally sparse representation in general (nonorthogonal) dictionaries via ℓ1 minimization , 2003, Proceedings of the National Academy of Sciences of the United States of America.