Independent component analysis, A new concept?
暂无分享,去创建一个
[1] Georgios B. Giannakis,et al. Modeling of non-Gaussian array data using cumulants: DOA estimation of more sources with less sensors , 1993, Signal Process..
[2] Philippe Loubaton,et al. Rational subspace estimation using adaptive lossless filters , 1992, IEEE Trans. Signal Process..
[3] P. Comon. Independent Component Analysis , 1992 .
[4] Georgios B. Giannakis,et al. A unifying maximum-likelihood view of cumulant and polyspectral measures for non-Gaussian signal classification and estimation , 1992, IEEE Trans. Inf. Theory.
[5] Ehud Weinstein,et al. New criteria for blind deconvolution of nonminimum phase systems (channels) , 1990, IEEE Trans. Inf. Theory.
[6] J. Lacoume. Higher order statistics : proceedings of the International Signal Processing Workshop on Higher Order Statistics, Chamrousse, France, July 10-12, 1991 , 1992 .
[7] Jitendra K. Tugnait,et al. Comments on 'New criteria for blind deconvolution of nonminimum phase systems (channels)' , 1992, IEEE Trans. Inf. Theory.
[8] Christian Jutten,et al. Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture , 1991, Signal Process..
[9] Jean-Francois Cardoso,et al. Super-symmetric decomposition of the fourth-order cumulant tensor. Blind identification of more sources than sensors , 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.
[10] Gaetano Scarano,et al. Cumulant series expansion of hybrid nonlinear moments of complex random variables , 1991, IEEE Trans. Signal Process..
[11] M. Gaeta. Les statistiques d'ordre supérieur appliquées à la séparation de sources , 1991 .
[12] J. Cardoso,et al. COMPARAISONS DE METHODES DE SEPARATION DE SOURCES , 1991 .
[13] Jitendra K. Tugnait,et al. Approaches of FIR system identification with noisy data using higher order statistics , 1990, IEEE Trans. Acoust. Speech Signal Process..
[14] S. Bellini,et al. Asymptotically efficient blind deconvolution , 1990 .
[15] R. Liu,et al. AMUSE: a new blind identification algorithm , 1990, IEEE International Symposium on Circuits and Systems.
[16] Benjamin Friedlander,et al. Direction finding algorithms based on high-order statistics , 1990, International Conference on Acoustics, Speech, and Signal Processing.
[17] Ananthram Swami,et al. On estimating noncausal nonminimum phase ARMA models of non-Gaussian processes , 1990, IEEE Trans. Acoust. Speech Signal Process..
[18] Comon. 5 - Analyse en composantes indépendantes et identification aveugle , 1990 .
[19] Duvaut. 3 - Principes des méthodes de séparation fondées sur les moments d'ordre supérieur , 1990 .
[20] Chrysostomos L. Nikias,et al. Bearing estimation in the bispectrum domain , 1990, Fifth ASSP Workshop on Spectrum Estimation and Modeling.
[21] M. Basseville. Distance measures for signal processing and pattern recognition , 1989 .
[22] Pierre Comon,et al. Separation Of Sources Using Higher-Order Cumulants , 1989, Optics & Photonics.
[23] J. Mendel,et al. Cumulant based identification of multichannel moving-average models , 1989 .
[24] P. Ruiz,et al. Extraction Of Independent Sources From Correlated Inputs A Solution Based On Cumulants , 1989, Workshop on Higher-Order Spectral Analysis.
[25] Y. Inouye,et al. Cumulant Based Parameter Estimation Of Linear Systems Of Nonminimum Phase , 1989, Workshop on Higher-Order Spectral Analysis.
[26] P. Comon. Separation Of Stochastic Processes , 1989, Workshop on Higher-Order Spectral Analysis.
[27] B. Friedlander. Asymptotically Optimal Estimation Of Ma And Arma Parameters Of Non-gaussian Processes From High-order Moments , 1989, Workshop on Higher-Order Spectral Analysis.
[28] Jerry M. Mendel,et al. A unified approach to modeling multichannel ARMA processes , 1989, International Conference on Acoustics, Speech, and Signal Processing,.
[29] Thomas Kailath,et al. Detection and estimation using the third moment matrix , 1989, International Conference on Acoustics, Speech, and Signal Processing,.
[30] J. Mendel,et al. ARMA systems excited by non-Gaussian processes are not always identifiable , 1989 .
[31] G. Jasso. Review of "International Encyclopedia of Statistical Sciences, edited by Samuel Kotz, Norman L. Johnson, and Campbell B. Read, New York, Wiley, 1982-1988" , 1989 .
[32] J. Mendel,et al. ARMA parameter estimation using only output cumulants , 1988, Fourth Annual ASSP Workshop on Spectrum Estimation and Modeling.
[33] Chrysostomos L. Nikias,et al. ARMA bispectrum approach to nonminimum phase system identification , 1988, IEEE Trans. Acoust. Speech Signal Process..
[34] P. McCullagh. Tensor Methods in Statistics , 1987 .
[35] M.R. Raghuveer,et al. Bispectrum estimation: A digital signal processing framework , 1987, Proceedings of the IEEE.
[36] Jitendra K. Tugnait,et al. Identification of linear stochastic systems via second- and fourth-order cumulant matching , 1987, IEEE Trans. Inf. Theory.
[37] Richard E. Blahut,et al. Principles and practice of information theory , 1987 .
[38] P. McCullagh. Tensor notation and cumulants of polynomials , 1984 .
[39] Tony F. Chan,et al. An Improved Algorithm for Computing the Singular Value Decomposition , 1982, TOMS.
[40] Yeheskel Bar-ness,et al. Bootstrapping adaptive interference cancelers - Some practical limitations , 1982 .
[41] A. Benveniste,et al. Robust identification of a nonminimum phase system: Blind adjustment of a linear equalizer in data communications , 1980 .
[42] Rodney W. Johnson,et al. Axiomatic derivation of the principle of maximum entropy and the principle of minimum cross-entropy , 1980, IEEE Trans. Inf. Theory.
[43] Calyampudi R. Rao,et al. Characterization Problems in Mathematical Statistics , 1975 .
[44] Calyampudi R. Rao,et al. Linear Statistical Inference and Its Applications. , 1975 .
[45] End Semester Sta,et al. RANDOM VARIABLES AND PROBABILITY DISTRIBUTIONS , 2014 .
[46] D. L. Wallace. Asymptotic Approximations to Distributions , 1958 .
[47] G. Darmois,et al. Analyse générale des liaisons stochastiques: etude particulière de l'analyse factorielle linéaire , 1953 .
[48] D. Dugué. Analycité et convexité des fonctions caractéristiques , 1951 .
[49] R. Fisher. The Advanced Theory of Statistics , 1943, Nature.
[50] H. Cramér. Random Variables and Probability Distributions. , 1963 .