Convolutive blind source separation by minimizing mutual information between segments of signals
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Deniz Erdogmus | José Carlos Príncipe | Kenneth E. Hild | D. Pinto | Deniz Erdoğmuş | J. Príncipe | K. Hild | D. Pinto
[1] Ruey-Wen Liu,et al. Blind equalization of MIMO-FIR Channels driven by white but higher order colored source signals , 2002, IEEE Trans. Inf. Theory.
[2] Scott C. Douglas,et al. Blind separation of acoustical mixtures without time-domain deconvolution or decorrelation , 2001, Neural Networks for Signal Processing XI: Proceedings of the 2001 IEEE Signal Processing Society Workshop (IEEE Cat. No.01TH8584).
[3] Kari Torkkola,et al. Blind separation of convolved sources based on information maximization , 1996, Neural Networks for Signal Processing VI. Proceedings of the 1996 IEEE Signal Processing Society Workshop.
[4] C. Jutten,et al. Blind source separation of convolutive mixtures by maximization of fourth-order cumulants: the non i.i.d. case , 1998, Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284).
[5] Inbar Fijalkow,et al. A globally convergent approach for blind MIMO adaptive deconvolution , 2001, IEEE Trans. Signal Process..
[6] Shoko Araki,et al. Geometrically constraint ICA for convolutive mixtures of sound , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..
[7] P. Comon,et al. Contrasts for multichannel blind deconvolution , 1996, IEEE Signal Processing Letters.
[8] Walter Kellermann,et al. A generalization of blind source separation algorithms for convolutive mixtures based on second-order statistics , 2005, IEEE Transactions on Speech and Audio Processing.
[9] J. Pesquet,et al. Generalized contrasts for multichannel blind deconvolution of linear systems , 1997, IEEE Signal Processing Letters.
[10] Jitendra K. Tugnait. On blind separation of convolutive mixtures of independent linear signals in unknown additive noise , 1998, IEEE Trans. Signal Process..
[11] Henrik Sahlin,et al. Separation of real-world signals , 1998, Signal Process..
[12] Te-Won Lee,et al. Blind Separation of Delayed and Convolved Sources , 1996, NIPS.
[13] Karim Abed-Meraim,et al. Blind separation of convolutive mixtures using joint block diagonalization , 2001, Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467).
[14] Jitendra K. Tugnait. Adaptive blind separation of convolutive mixtures of independent linear signals , 1999, Signal Process..
[15] Shoko Araki,et al. Time domain blind source separation of non-stationary convolved signals by utilizing geometric beamforming , 2002, Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing.
[16] Gert Cauwenberghs,et al. BLIND SEPARATION OF LINEAR CONVOLUTIVE MIXTURES USING ORTHOGONAL FILTER BANKS , 2001 .
[17] Kari Torkkola,et al. Blind separation of delayed sources based on information maximization , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.
[18] E. Parzen. On Estimation of a Probability Density Function and Mode , 1962 .
[19] Philippe Loubaton,et al. Adaptive subspace algorithm for blind separation of independent sources in convolutive mixture , 2000, IEEE Trans. Signal Process..
[20] Reinhold Orglmeister,et al. A contextual blind separation of delayed and convolved sources , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[21] Christian Jutten,et al. Blind source separation for convolutive mixtures , 1995, Signal Process..
[22] M. Davies,et al. NEW FIXED-POINT ICA ALGORITHMS FOR CONVOLVED MIXTURES , 2001 .
[23] James P. Reilly,et al. BLIND SOURCE SEPARATION ALGORITHM FOR MIMO CONVOLUTIVE MIXTURES , 2001 .
[24] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[25] Jose C. Principe,et al. A unifying criterion for blind source separation and decorrelation: simultaneous diagonalization of correlation matrices , 1997, Neural Networks for Signal Processing VII. Proceedings of the 1997 IEEE Signal Processing Society Workshop.
[26] Bertram E. Shi,et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS — I : REGULAR PAPERS , VOL . ? ? , NO . ? ? , ? ? ? ? , 2007 .
[27] Lucas C. Parra,et al. Convolutive blind separation of non-stationary sources , 2000, IEEE Trans. Speech Audio Process..
[28] Joos Vandewalle,et al. An algebraic approach to blind MIMO identification , 2000 .
[29] James P. Reilly,et al. Blind source separation of convolved sources by joint approximate diagonalization of cross-spectral density matrices , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).
[30] Reinhold Orglmeister,et al. Blind source separation of real world signals , 1997, Proceedings of International Conference on Neural Networks (ICNN'97).
[31] Zhang Xinhua,et al. Study on blind separation of underwater acoustic signals , 2000, WCC 2000 - ICSP 2000. 2000 5th International Conference on Signal Processing Proceedings. 16th World Computer Congress 2000.
[32] Nikolaos Mitianoudis,et al. Audio source separation of convolutive mixtures , 2003, IEEE Trans. Speech Audio Process..
[33] M. Girolami. Symmetric adaptive maximum likelihood estimation for noise cancellation and signal separation , 1997 .
[34] Shoko Araki,et al. Fundamental limitation of frequency domain blind source separation for convolutive mixture of speech , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).
[35] Frank Ehlers,et al. Blind separation of convolutive mixtures and an application in automatic speech recognition in a noisy environment , 1997, IEEE Trans. Signal Process..
[36] Adriana Dapena,et al. A novel frequency domain approach for separating convolutive mixtures of temporally-white signals , 2003, Digit. Signal Process..
[37] Francoise Briolle,et al. Blind separation of sources applied to convolutive mixtures in shallow water , 1997, Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics.
[38] Deniz Erdogmus,et al. Blind source separation using Renyi's -marginal entropies , 2002, Neurocomputing.
[39] A. Doucet,et al. Bayesian blind marginal separation of convolutively mixed discrete sources , 1998, Neural Networks for Signal Processing VIII. Proceedings of the 1998 IEEE Signal Processing Society Workshop (Cat. No.98TH8378).
[40] H. Attias,et al. Blind source separation and deconvolution by dynamic component analysis , 1997, Neural Networks for Signal Processing VII. Proceedings of the 1997 IEEE Signal Processing Society Workshop.
[41] Holger Broman,et al. Source separation using a criterion based on second-order statistics , 1998, IEEE Trans. Signal Process..
[42] Yujiro Inouye,et al. Super-exponential algorithms for multichannel blind deconvolution , 2000, IEEE Trans. Signal Process..
[43] Yannick Deville,et al. Self-adaptive separation of convolutively mixed signals with a recursive structure. Part I: Stability analysis and optimization of asymptotic behaviour , 1999, Signal Process..
[44] Adriana Dapena,et al. A SIMPLIFIED FREQUENCY-DOMAIN APPROACH FOR BLIND SEPARATION OF CONVOLUTIVE MIXTURES , 2001 .
[45] Christopher V. Alvino,et al. Geometric source separation: merging convolutive source separation with geometric beamforming , 2001, Neural Networks for Signal Processing XI: Proceedings of the 2001 IEEE Signal Processing Society Workshop (IEEE Cat. No.01TH8584).
[46] Xiaoan Sun,et al. A NATURAL GRADIENT CONVOLUTIVE BLIND SOURCE SEPARATION ALGORITHM FOR SPEECH MIXTURES , 2001 .
[47] G. Kokkinakis,et al. Blind signal separation and speech recognition in the frequency domain , 1999, ICECS'99. Proceedings of ICECS '99. 6th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.99EX357).
[48] Shoji Makino,et al. Blind source separation of convolutive mixtures , 2006, SPIE Defense + Commercial Sensing.
[49] L. Parra,et al. Convolutive blind source separation based on multiple decorrelation , 1998, Neural Networks for Signal Processing VIII. Proceedings of the 1998 IEEE Signal Processing Society Workshop (Cat. No.98TH8378).
[50] Douglas L. Jones,et al. Blind source separation of nonstationary convolutively mixed signals , 2000, Proceedings of the Tenth IEEE Workshop on Statistical Signal and Array Processing (Cat. No.00TH8496).
[51] Kiyotoshi Matsuoka,et al. Stability analyses of information-theoretic blind separation algorithms in the case where the sources are nonlinear processes , 2002, IEEE Trans. Signal Process..
[52] José Carlos Príncipe,et al. Blind separation of convolutive mixtures , 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).
[53] J. Cardoso,et al. Blind beamforming for non-gaussian signals , 1993 .
[54] Jose C. Principe,et al. An information-theoretic approach to sonar automatic target recognition , 2003 .
[55] Meir Feder,et al. Multi-channel signal separation by decorrelation , 1993, IEEE Trans. Speech Audio Process..
[56] Andrzej Cichocki,et al. Multichannel blind deconvolution of non-minimum phase systems using information backpropagation , 1999, ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378).
[57] T. Oliveira e Silva,et al. On the equivalence between Gamma and Laguerre filters , 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.
[58] Jose C. Principe,et al. Neural and adaptive systems , 2000 .
[59] Russell H. Lambert,et al. Blind separation of multiple speakers in a multipath environment , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[60] C. Fancourt,et al. The coherence function in blind source separation of convolutive mixtures of non-stationary signals , 2001, Neural Networks for Signal Processing XI: Proceedings of the 2001 IEEE Signal Processing Society Workshop (IEEE Cat. No.01TH8584).
[61] Deniz Erdoğmuş,et al. Blind source separation using Renyi's mutual information , 2001, IEEE Signal Processing Letters.
[62] Dorothea Kolossa,et al. REAL TIME SEPARATION OF CONVOLUTIVE MIXTURES , 2001 .
[63] Noboru Ohnishi,et al. Real world blind separation of convolved speech signals , 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).
[64] Nobuhiko Kitawaki,et al. Combined approach of array processing and independent component analysis for blind separation of acoustic signals , 2003, IEEE Trans. Speech Audio Process..
[65] Nathalie Delfosse,et al. Adaptive blind separation of convolutive mixtures , 1996, Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers.
[66] Luis Castedo,et al. SEPARATION OF CONVOLUTIVE MIXTURES OF TEMPORALLY-WHITE SIGNALS: A NOVEL FREQUENCY-DOMAIN APPROACH , 2001 .
[67] Paris Smaragdis,et al. Blind separation of convolved mixtures in the frequency domain , 1998, Neurocomputing.
[68] Ehud Weinstein,et al. Criteria for multichannel signal separation , 1994, IEEE Trans. Signal Process..
[69] Marc Moonen,et al. Deterministic blind modulation-induced source separation for digital wireless communications , 2001, IEEE Trans. Signal Process..
[70] Deniz Erdoğmuş,et al. Online entropy manipulation: stochastic information gradient , 2003, IEEE Signal Processing Letters.
[71] Dennis R. Morgan,et al. A multiresolution approach to blind separation of speech signals in a reverberant environment , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).
[72] Andrzej Cichocki,et al. Relationships between instantaneous blind source separation and multichannel blind deconvolution , 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).
[73] Eric Moulines,et al. Subspace methods for the blind identification of multichannel FIR filters , 1995, IEEE Trans. Signal Process..
[74] John C. Platt,et al. Networks for the Separation of Sources that Are Superimposed and Delayed , 1991, NIPS.
[75] Pierre Comon,et al. BLIND SEPARATION OF CONVOLUTIVE MIXTURES A CONTRAST-BASED JOINT DIAGONALIZATION APPROACH , 2001 .
[76] George S. Moschytz,et al. An FFT-based algorithm for multichannel blind deconvolution , 1999, ISCAS'99. Proceedings of the 1999 IEEE International Symposium on Circuits and Systems VLSI (Cat. No.99CH36349).
[77] Birger Kollmeier,et al. Amplitude Modulation Decorrelation For Convolutive Blind Source Separation , 2000 .
[78] Yannick Deville,et al. Self-adaptive separation of convolutively mixed signals with a recursive structure. Part II: Theoretical extensions and application to synthetic and real signals , 1999, Signal Process..
[79] Koutras. CONTINUOUS SPEECH RECOGNITION IN A MULTI-SIMULTANEOUS-SPEAKER ENVIRONMENT USING DECORRELATION FILTERING IN THE FREQUENCY DOMAIN , 1998 .
[80] S. Haykin,et al. Adaptive Filter Theory , 1986 .
[81] A. Belouchrani,et al. Jacobi-like algorithm for blind signal separation of convolutive mixtures , 2001 .
[82] James P. Reilly,et al. Blind signal separation for convolutive mixing environments using spatial-temporal processing , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).
[83] B. Kollmeier,et al. Convolutive blind source separation of speech signals based on amplitude modulation decorrelation , 2000 .
[84] Hagai Attias,et al. Blind Source Separation and Deconvolution: The Dynamic Component Analysis Algorithm , 1998, Neural Computation.
[85] Ehud Weinstein,et al. Multichannel signal separation: methods and analysis , 1996, IEEE Trans. Signal Process..
[86] Paris Smaragdis,et al. Efficient blind separation of convolved sound mixtures , 1997, Proceedings of 1997 Workshop on Applications of Signal Processing to Audio and Acoustics.
[87] É. Moulines,et al. Subspace method for blind identification of multichannel FIR systems in noise field with unknown spatial covariance , 1997, IEEE Signal Processing Letters.
[88] Takayuki Nagai,et al. Frequency domain multi-channel speech separation and its applications , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).
[89] Allan Kardec Barros,et al. Real world blind separation of convolved non-stationary signals , 1999 .
[90] N. Charkani,et al. Stability analysis and optimization of time-domain convolutive source separation algorithms , 1997, First IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications.
[91] W. Hachem,et al. ON THE IDENTIFICATION OF CERTAIN NOISY FIR CONVOLUTIVE MIXTURES , 1996 .
[92] Dinh-Tuan Pham,et al. Mutual information approach to blind separation of stationary sources , 2002, IEEE Trans. Inf. Theory.
[93] Saeid Sanei,et al. Penalty function-based joint diagonalization approach for convolutive blind separation of nonstationary sources , 2005, IEEE Transactions on Signal Processing.
[94] Jose C. Principe,et al. Simultaneous Diagonalization in the Frequency Domain (SDIF) for Source Separation , 2000 .
[95] Lucas C. Parra,et al. On-line Convolutive Blind Source Separation of Non-Stationary Signals , 2000, J. VLSI Signal Process..
[96] Yannick Deville,et al. A convolutive source separation method with self-optimizing non-linearities , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).
[97] Roland Gautier,et al. Blind separation of convolutive mixtures using second and fourth order moments , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.
[98] Dirk Van Compernolle,et al. Signal separation by symmetric adaptive decorrelation: stability, convergence, and uniqueness , 1995, IEEE Trans. Signal Process..
[99] Deniz Erdogmus,et al. Sequential Feature Extraction Using Information-Theoretic Learning , 2001 .
[100] Ruey-Wen Liu,et al. Blind Deconvolution Algorithms for MIMO-FIR Systems Driven by Fourth-order Colored Signals , 2001 .
[101] Barak A. Pearlmutter,et al. Maximum Likelihood Blind Source Separation: A Context-Sensitive Generalization of ICA , 1996, NIPS.
[102] E. S. Warner,et al. Single-channel blind signal separation of filtered MPSK signals , 2003 .
[103] S.C. Douglas,et al. Multichannel blind deconvolution and equalization using the natural gradient , 1997, First IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications.
[104] Philippe Loubaton,et al. On the convolutive mixture source separation by the decorrelation approach , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).
[105] Athina P. Petropulu,et al. Frequency-domain contrast functions for separation of convolutive mixtures , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).
[106] Aapo Hyvärinen,et al. A Fast Fixed-Point Algorithm for Independent Component Analysis of Complex Valued Signals , 2000, Int. J. Neural Syst..
[107] Scott C. Douglas,et al. Adaptive paraunitary filter banks for contrast-based multichannel blind deconvolution , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).