Separation of Dependent Autoregressive Sources Using Joint Matrix Diagonalization
暂无分享,去创建一个
[1] Serge Dégerine,et al. Separation of an instantaneous mixture of Gaussian autoregressive sources by the exact maximum likelihood approach , 2004, IEEE Transactions on Signal Processing.
[2] 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.
[3] Adel Belouchrani,et al. Informed separation of dependent sources using joint matrix decomposition , 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).
[4] W. M. Carey,et al. Digital spectral analysis: with applications , 1986 .
[5] Eric Grivel,et al. Multichannel AR parameter estimation from noisy observations as an errors-in-variables issue , 2008, 2008 16th European Signal Processing Conference.
[6] Md. Jahangir Hossain,et al. Parameter estimation of multichannel autoregressive processes in noise , 2003, Signal Process..
[7] Karim Abed-Meraim,et al. A new Jacobi-like method for joint diagonalization of arbitrary non-defective matrices , 2009, Appl. Math. Comput..
[8] A. Yeredor. Blind separation of Gaussian sources via second-order statistics with asymptotically optimal weighting , 2000, IEEE Signal Processing Letters.
[9] Adel Belouchrani,et al. A New Algorithm for Complex Non-Orthogonal Joint Diagonalization Based on Shear and Givens Rotations , 2013, IEEE Transactions on Signal Processing.
[10] Ian S. Burnett,et al. Blind speech separation using a joint model of speech production , 2005, IEEE Signal Processing Letters.
[11] Karim Abed-Meraim,et al. A general framework for second-order blind separation of stationary colored sources , 2008, Signal Process..
[12] Mark R. Every,et al. Separation of synchronous pitched notes by spectral filtering of harmonics , 2006, IEEE Transactions on Audio, Speech, and Language Processing.
[13] Allan Kardec Barros,et al. A blind extraction of temporally correlated but statistically dependent acoustic signals , 2000, Neural Networks for Signal Processing X. Proceedings of the 2000 IEEE Signal Processing Society Workshop (Cat. No.00TH8501).
[14] Gilles Chabriel,et al. A Direct Algorithm for Nonorthogonal Approximate Joint Diagonalization , 2012, IEEE Transactions on Signal Processing.
[15] Eric Moreau,et al. Blind source separation of independent/dependent signals using a measure on copulas , 2013, 21st European Signal Processing Conference (EUSIPCO 2013).
[16] Alois Schlögl,et al. A comparison of multivariate autoregressive estimators , 2006, Signal Process..
[17] Shirley Dex,et al. JR 旅客販売総合システム(マルス)における運用及び管理について , 1991 .
[18] Arie Yeredor,et al. Joint Matrices Decompositions and Blind Source Separation: A survey of methods, identification, and applications , 2014, IEEE Signal Processing Magazine.
[19] Lang Tong,et al. Indeterminacy and identifiability of blind identification , 1991 .
[20] Eric Moulines,et al. A blind source separation technique using second-order statistics , 1997, IEEE Trans. Signal Process..
[21] Xiqi Gao,et al. Simultaneous Diagonalization With Similarity Transformation for Non-Defective Matrices , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.
[22] Heimo Ihalainen,et al. Tutorial on Multivariate Autoregressive Modelling , 2006, Journal of clinical monitoring and computing.