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TSP
2010
12 years 11 months ago
Blind separation of Gaussian sources with general covariance structures: bounds and optimal estimation
Abstract--We consider the separation of Gaussian sources exhibiting general, arbitrary (not necessarily stationary) covariance structures. First, assuming a semi-blind scenario, in...
Arie Yeredor
ICASSP
2011
IEEE
12 years 8 months ago
Empirical weighting for Blind Source Separation in a multiple-snapshots scenario
We consider the blind separation of sources with general (e.g., not necessarily stationary) temporal covariance structures. When the sources’ temporal covariance matrices are kn...
Arie Yeredor
NIPS
1996
13 years 6 months ago
Maximum Likelihood Blind Source Separation: A Context-Sensitive Generalization of ICA
In the square linear blind source separation problem, one must nd a linear unmixing operator which can detangle the result xi(t) of mixing n unknown independent sources si(t) thro...
Barak A. Pearlmutter, Lucas C. Parra
IDA
2009
Springer
13 years 11 months ago
On Optimal Selection of Correlation Matrices for Matrix-Pencil-Based Separation
Abstract. The Matrix-Pencil approach to blind source separation estimates the mixing matrix from the Generalized Eigenvalue Decomposition (GEVD), or Exact Joint Diagonalization, of...
Arie Yeredor
ICCV
2009
IEEE
13 years 2 months ago
Component analysis approach to estimation of tissue intensity distributions of 3D images
Many segmentation problems in medical imaging rely on accurate modeling and estimation of tissue intensity probability density functions. Gaussian mixture modeling, currently the ...
Arridhana Ciptadi, Cheng Chen, Vitali Zagorodnov