Second-order methods based on color

[1]  Arie Yeredor,et al.  A fast asymptotically efficient algorithm for blind separation of a linear mixture of block-wise stationary autoregressive processes , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

[2]  Hagit Messer,et al.  Optimal Performance of Second-Order Multidimensional ICA , 2009, ICA.

[3]  Arie Yeredor,et al.  On Optimal Selection of Correlation Matrices for Matrix-Pencil-Based Separation , 2009, ICA.

[4]  P. Tichavsky,et al.  Fast Approximate Joint Diagonalization Incorporating Weight Matrices , 2009, IEEE Transactions on Signal Processing.

[5]  A. Belouchrani,et al.  Blind separation of cyclostationary sources using non-orthogonal approximate joint diagonalization , 2008, 2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop.

[6]  Arie Yeredor,et al.  A fast approximate joint diagonalization algorithm using a criterion with a block diagonal weight matrix , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

[7]  Visa Koivunen,et al.  Compact CramÉr–Rao Bound Expression for Independent Component Analysis , 2008, IEEE Transactions on Signal Processing.

[8]  D. T. Pham,et al.  Blind Separation of Cyclostationary Sources Using Joint Block Approximate Diagonalization , 2007, ICA.

[9]  Serge Dégerine,et al.  A Comparative Study of Approximate Joint Diagonalization Algorithms for Blind Source Separation in Presence of Additive Noise , 2007, IEEE Transactions on Signal Processing.

[10]  Arie Yeredor,et al.  Cramér–Rao-Induced Bound for Blind Separation of Stationary Parametric Gaussian Sources , 2007, IEEE Signal Processing Letters.

[11]  Xi-Lin Li,et al.  Nonorthogonal Joint Diagonalization Free of Degenerate Solution , 2007, IEEE Transactions on Signal Processing.

[12]  Arie Yeredor,et al.  A computationally affordable implementation of an asymptotically optimal BSS algorithm for ar sources , 2006, 2006 14th European Signal Processing Conference.

[13]  Pierre Jallon,et al.  Separation of instantaneous mixtures of cyclostationary sources with application to digital communication signals , 2006, 2006 14th European Signal Processing Conference.

[14]  Klaus Obermayer,et al.  Quadratic optimization for simultaneous matrix diagonalization , 2006, IEEE Transactions on Signal Processing.

[15]  Scott C. Douglas,et al.  Adaptive Estimation of the Strong Uncorrelating Transform with Applications to Subspace Tracking , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

[16]  Ana Maria Tomé,et al.  The generalized eigendecomposition approach to the blind source separation problem , 2006, Digit. Signal Process..

[17]  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.

[18]  Visa Koivunen,et al.  Complex random vectors and ICA models: identifiability, uniqueness, and separability , 2005, IEEE Transactions on Information Theory.

[19]  A. Zaidi.  Positive definite combination of symmetric matrices , 2005, IEEE Transactions on Signal Processing.

[20]  Arie Yeredor,et al.  On using exact joint diagonalization for noniterative approximate joint diagonalization , 2005, IEEE Signal Processing Letters.

[21]  A. Yeredor.  On approximate joint "biagonalization" - a tool for noisy blind source separation , 2005, IEEE/SP 13th Workshop on Statistical Signal Processing, 2005.

[22]  Andreas Ziehe,et al.  A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation , 2004, J. Mach. Learn. Res..

[23]  Arie Yeredor,et al.  Approximate Joint Diagonalization Using a Natural Gradient Approach , 2004, ICA.

[24]  K. Stadlthanner,et al.  Blind source separation using time-delayed signals , 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

[25]  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.

[26]  Laurent Albera,et al.  Second-order blind separation of first- and second-order cyclostationary sources-application to AM, FSK, CPFSK, and deterministic sources , 2004, IEEE Transactions on Signal Processing.

[27]  J. Chambers,et al.  New natural gradient algorithm for cyclostationary sources , 2004 .

[28]  Lucas C. Parra,et al.  Blind Source Separation via Generalized Eigenvalue Decomposition , 2003, J. Mach. Learn. Res..

[29]  Arie Yeredor,et al.  Using farther correlations to further improve the optimally-weighted SOBI Algorithm , 2002, 2002 11th European Signal Processing Conference.

[30]  Heinz Mathis,et al.  Joint diagonalization of correlation matrices by using gradient methods with application to blind signal separation , 2002, Sensor Array and Multichannel Signal Processing Workshop Proceedings, 2002.

[31]  Arie Yeredor,et al.  Non-orthogonal joint diagonalization in the least-squares sense with application in blind source separation , 2002, IEEE Trans. Signal Process..

[32]  Dinh-Tuan Pham,et al.  Blind separation of instantaneous mixtures of nonstationary sources , 2001, IEEE Trans. Signal Process..

[33]  Alle-Jan van der Veen,et al.  Joint diagonalization via subspace fitting techniques , 2001, ICASSP.

[34]  Karim Abed-Meraim,et al.  Blind source-separation using second-order cyclostationary statistics , 2001, IEEE Trans. Signal Process..

[35]  Dinh Tuan Pham,et al.  Blind separation of instantaneous mixture of sources via the Gaussian mutual information criterion , 2000, 2000 10th European Signal Processing Conference.

[36]  Dinh Tuan Pham,et al.  Joint Approximate Diagonalization of Positive Definite Hermitian Matrices , 2000, SIAM J. Matrix Anal. Appl..

[37]  A. Yeredor.  Blind separation of Gaussian sources via second-order statistics with asymptotically optimal weighting , 2000, IEEE Signal Processing Letters.

[38]  Karim Abed-Meraim,et al.  Generalized second order identifiability condition and relevant testing technique , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

[39]  Zhi Ding,et al.  A matrix-pencil approach to blind separation of colored nonstationary signals , 2000, IEEE Trans. Signal Process..

[40]  Serge Dégerine,et al.  Second-order blind separation of sources based on canonical partial innovations , 2000, IEEE Trans. Signal Process..

[41]  Zhi Ding,et al.  A matrix-pencil approach to blind separation of non-white sources in white noise , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

[42]  Shun-ichi Amari,et al.  Blind source separation-semiparametric statistical approach , 1997, IEEE Trans. Signal Process..

[43]  Philippe Garat,et al.  Blind separation of mixture of independent sources through a quasi-maximum likelihood approach , 1997, IEEE Trans. Signal Process..

[44]  Eric Moulines,et al.  A blind source separation technique using second-order statistics , 1997, IEEE Trans. Signal Process..

[45]  Jean-François Cardoso,et al.  Equivariant adaptive source separation , 1996, IEEE Trans. Signal Process..

[46]  Bernard C. Picinbono,et al.  On circularity , 1994, IEEE Trans. Signal Process..

[47]  Schuster,et al.  Separation of a mixture of independent signals using time delayed correlations. , 1994, Physical review letters.

[48]  Ehud Weinstein,et al.  Maximum likelihood and lower bounds in system identification with non-Gaussian inputs , 1994, IEEE Trans. Inf. Theory.

[49]  S. Kay.  Fundamentals of statistical signal processing: estimation theory , 1993 .

[50]  Lang Tong,et al.  A finite-step global convergence algorithm for the parameter estimation of multichannel MA processes , 1992, IEEE Trans. Signal Process..

[51]  Lang Tong,et al.  BLIND ESTIMATION OF CORRELATED SOURCE SIGNALS , 1990, 1990 Conference Record Twenty-Fourth Asilomar Conference on Signals, Systems and Computers, 1990..

[52]  R. Liu,et al.  AMUSE: a new blind identification algorithm , 1990, IEEE International Symposium on Circuits and Systems.

[53]  Pham Dinh Tuan,et al.  Maximum likelihood estimation of the autoregressive model by relaxation on the reflection coefficients , 1988, IEEE Trans. Acoust. Speech Signal Process..

[54]  L. Fety,et al.  New methods for signal separation , 1988 .

[55]  E. Parzen.  Some recent advances in time series modeling , 1974 .

[56]  P. Whittle.  On the fitting of multivariate autoregressions, and the approximate canonical factorization of a spectral density matrix , 1963 .

[57]  Abdelhamid Zaidi.  Un nouvel indice de performance et sa borne inférieure , 2001 .

[58]  Yingbo Hua,et al.  A new approach to blind separation of cyclostationary sources , 1999, 1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304).

[59]  S. Dégerine,et al.  Maximum de vraisemblance exact pour la séparation aveugle d'un mélange instantané de sources autorégressives gaussiennes , 1999 .

[60]  Andreas Ziehe,et al.  TDSEP { an e(cid:14)cient algorithm for blind separation using time structure , 1998 .

[61]  Antoine Souloumiac,et al.  Jacobi Angles for Simultaneous Diagonalization , 1996, SIAM J. Matrix Anal. Appl..

[62]  John G. Proakis,et al.  Digital signal processing - principles, algorithms and applications (2. ed.) , 1992 .

[63]  D.T. Pham,et al.  Efficient computation of autoregressive estimates through a sufficient statistic , 1990, IEEE Trans. Acoust. Speech Signal Process..

[64]  V. Koivunen,et al.  Ieee Workshop on Machine Learning for Signal Processing Complex-valued Ica Using Second , 2022 .