Estimating the mixing matrix in Sparse Component Analysis (SCA) based on partial k-dimensional subspace clustering
暂无分享,去创建一个
Christian Jutten | Massoud Babaie-Zadeh | Farid Movahedi Naini | G. Hosein Mohimani | C. Jutten | G. H. Mohimani | F. M. Naini | M. Babaie-zadeh
[1] M. Elad,et al. $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation , 2006, IEEE Transactions on Signal Processing.
[2] Christian Jutten,et al. Estimating the Mixing Matrix in Sparse Component Analysis Based on Converting a Multiple Dominant to a Single Dominant Problem , 2007, ICA.
[3] Andrzej Cichocki,et al. On-Line K-PLANE Clustering Learning Algorithm for Sparse Comopnent Analysis , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.
[4] Erkki Oja,et al. Independent Component Analysis , 2001 .
[5] Yuanqing Li,et al. Analysis of Sparse Representation and Blind Source Separation , 2004, Neural Computation.
[6] Kiyotoshi Matsuoka,et al. A neural net for blind separation of nonstationary signals , 1995, Neural Networks.
[7] Fabian J. Theis,et al. Blind source separation and sparse component analysis of overcomplete mixtures , 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[8] L. Vielva,et al. INVERSION TECHNIQUES FOR UNDERDETERMINED BSS IN AN ARBITRARY NUMBER OF DIMENSIONS , 2002 .
[9] Christian Jutten,et al. Semi-Blind Approaches for Source Separation and Independent component Analysis , 2006, ESANN.
[10] A. Bruckstein,et al. K-SVD : An Algorithm for Designing of Overcomplete Dictionaries for Sparse Representation , 2005 .
[11] D. Donoho. For most large underdetermined systems of linear equations the minimal 𝓁1‐norm solution is also the sparsest solution , 2006 .
[12] S. Amari,et al. SPARSE COMPONENT ANALYSIS FOR BLIND SOURCE SEPARATION WITH LESS SENSORS THAN SOURCES , 2003 .
[13] Rémi Gribonval,et al. A survey of Sparse Component Analysis for blind source separation: principles, perspectives, and new challenges , 2006, ESANN.
[14] Christian Jutten,et al. A Fast Method for Sparse Component Analysis Based on Iterative Detection‐Estimation , 2006 .
[15] Barak A. Pearlmutter,et al. Independent Component Analysis: Blind source separation by sparse decomposition in a signal dictionary , 2001 .
[16] Andrzej Cichocki,et al. Adaptive Blind Signal and Image Processing - Learning Algorithms and Applications , 2002 .
[17] Michael Zibulevsky,et al. Underdetermined blind source separation using sparse representations , 2001, Signal Process..
[18] Adel Belouchrani,et al. Maximum Likelihood Source Separation By the Expectation-Maximization Technique: Deterministic and St , 1995 .
[19] Terrence J. Sejnowski,et al. Blind source separation of more sources than mixtures using overcomplete representations , 1999, IEEE Signal Processing Letters.
[20] Barak A. Pearlmutter,et al. Blind Source Separation by Sparse Decomposition in a Signal Dictionary , 2001, Neural Computation.
[21] Fabian J. Theis,et al. Sparse component analysis and blind source separation of underdetermined mixtures , 2005, IEEE Transactions on Neural Networks.
[22] Schuster,et al. Separation of a mixture of independent signals using time delayed correlations. , 1994, Physical review letters.
[23] A. Papoulis. Probability and Statistics , 1989 .
[24] Barak A. Pearlmutter,et al. Blind source separation by sparse decomposition , 2000, SPIE Defense + Commercial Sensing.
[25] R. Liu,et al. AMUSE: a new blind identification algorithm , 1990, IEEE International Symposium on Circuits and Systems.