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Regularization Methods For Blind Deconvolution And Blind Source Separation Problems
 Math. Cont. Signals & Systems
, 2001
"... . This paper is devoted to blind deconvolution and blind separation problems. Blind deconvolution is the identification of a point spread function and an input signal from an observation of their convolution. Blind source separation is the recovery of a vector of input signals from a vector of obser ..."
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Cited by 4 (1 self)
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. This paper is devoted to blind deconvolution and blind separation problems. Blind deconvolution is the identification of a point spread function and an input signal from an observation of their convolution. Blind source separation is the recovery of a vector of input signals from a vector
EigenStructure Of The FourthOrder Cumulant Tensor With Application To The Blind Source Separation Problem
, 1990
"... This communication deals with higherorder multivariate statistics. A first theoretical part is followed by an original application. In the first part we propose a special (indexfree) tensor formalism to express fourthorder multivariate statistics. A quadricovariance "tensor" is defined ..."
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Cited by 32 (6 self)
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matrix is then proposed as a solution to the "blind source separation problem". The task is to separate a mixture of N independent nonGaussian signals received on a array of sensors when no information is available about propagation conditions or array geometry ("blind" situation). this can
ICASSP90 EIGENSTRUCTURE OF THE FOURTHORDER CUMULANT TENSOR WITH APPLICATION TO THE BLIND SOURCE SEPARATION PROBLEM
"... This communication deals with higherorder multivariate statistics. A first theoretical part is followed by an original application. In the first part we propose a special (indexfree) tensor formalism to express fourthorder multivariate statistics. A quadricovariance "tensor" is defined ..."
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Cited by 1 (0 self)
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matrix is then proposed as a solution to the "blind source separation problem". The task is to separate a mixture of N independent nonGaussian signals received on a array of sensors when no information is available about propagation conditions or array geometry ("blind" situation). this can
Blind Signal Separation: Statistical Principles
, 2003
"... Blind signal separation (BSS) and independent component analysis (ICA) are emerging techniques of array processing and data analysis, aiming at recovering unobserved signals or `sources' from observed mixtures (typically, the output of an array of sensors), exploiting only the assumption of mut ..."
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Cited by 522 (4 self)
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Blind signal separation (BSS) and independent component analysis (ICA) are emerging techniques of array processing and data analysis, aiming at recovering unobserved signals or `sources' from observed mixtures (typically, the output of an array of sensors), exploiting only the assumption
A new learning algorithm for blind signal separation

, 1996
"... A new online learning algorithm which minimizes a statistical dependency among outputs is derived for blind separation of mixed signals. The dependency is measured by the average mutual information (MI) of the outputs. The source signals and the mixing matrix are unknown except for the number of ..."
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Cited by 614 (80 self)
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A new online learning algorithm which minimizes a statistical dependency among outputs is derived for blind separation of mixed signals. The dependency is measured by the average mutual information (MI) of the outputs. The source signals and the mixing matrix are unknown except for the number
Equivariant Adaptive Source Separation
 IEEE Trans. on Signal Processing
, 1996
"... Source separation consists in recovering a set of independent signals when only mixtures with unknown coefficients are observed. This paper introduces a class of adaptive algorithms for source separation which implements an adaptive version of equivariant estimation and is henceforth called EASI (Eq ..."
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Cited by 448 (9 self)
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Source separation consists in recovering a set of independent signals when only mixtures with unknown coefficients are observed. This paper introduces a class of adaptive algorithms for source separation which implements an adaptive version of equivariant estimation and is henceforth called EASI
Blind Beamforming for Non Gaussian Signals
 IEE ProceedingsF
, 1993
"... This paper considers an application of blind identification to beamforming. The key point is to use estimates of directional vectors rather than resorting to their hypothesized value. By using estimates of the directional vectors obtained via blind identification i.e. without knowing the arrray mani ..."
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Cited by 704 (31 self)
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range of parameters, even when the array is perfectly known to the informed beamformer. The key assumption blind identification relies on is the statistical independence of the sources, which we exploit using fourthorder cumulants. A computationally efficient technique is presented for the blind
N Degrees of Separation: MultiDimensional Separation of Concerns
 IN PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING
, 1999
"... Done well, separation of concerns can provide many software engineering benefits, including reduced complexity, improved reusability, and simpler evolution. The choice of boundaries for separate concerns depends on both requirements on the system and on the kind(s) of decompositionand composition a ..."
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Cited by 514 (8 self)
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given formalism supports. The predominant methodologies and formalisms available, however, support only orthogonal separations of concerns, along single dimensions of composition and decomposition. These characteristics lead to a number of wellknown and difficult problems. This paper describes a new
Querying Heterogeneous Information Sources Using Source Descriptions
, 1996
"... We witness a rapid increase in the number of structured information sources that are available online, especially on the WWW. These sources include commercial databases on product information, stock market information, real estate, automobiles, and entertainment. We would like to use the data stored ..."
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Cited by 727 (35 self)
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We witness a rapid increase in the number of structured information sources that are available online, especially on the WWW. These sources include commercial databases on product information, stock market information, real estate, automobiles, and entertainment. We would like to use the data
The separation of ownership and control in East Asian Corporations
 Journal of Financial Economics
, 2000
"... We examine the separation of ownership and control for 2,980 corporations in nine East Asian countries. In all countries, voting rights frequently exceed cash#ow rights via pyramid structures and crossholdings. The separation of ownership and control is most pronounced among familycontrolled &quo ..."
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Cited by 573 (17 self)
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We examine the separation of ownership and control for 2,980 corporations in nine East Asian countries. In all countries, voting rights frequently exceed cash#ow rights via pyramid structures and crossholdings. The separation of ownership and control is most pronounced among family
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