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» On Estimation of Covariance Matrices With Kronecker Product ...
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DAM
2006
66views more  DAM 2006»
13 years 5 months ago
On the structure of the adjacency matrix of the line digraph of a regular digraph
We show that the adjacency matrix M of the line digraph of a d-regular digraph D on n vertices can be written as M = AB, where the matrix A is the Kronecker product of the all-one...
Simone Severini
ICASSP
2011
IEEE
12 years 9 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
CSDA
2010
157views more  CSDA 2010»
13 years 5 months ago
Robust estimation of constrained covariance matrices for confirmatory factor analysis
Confirmatory factor analysis (CFA) is a data anylsis procedure that is widely used in social and behavioral sciences in general and other applied sciences that deal with large qua...
E. Dupuis Lozeron, M. P. Victoria-Feser
ICASSP
2009
IEEE
14 years 18 hour ago
Shrinkage estimation of high dimensional covariance matrices
We address covariance estimation under mean-squared loss in the Gaussian setting. Specifically, we consider shrinkage methods which are suitable for high dimensional problems wit...
Yilun Chen, Ami Wiesel, Alfred O. Hero
ICASSP
2008
IEEE
13 years 11 months ago
On persymmetric covariance matrices in adaptive detection
In the general area of radar detection, estimation of the clutter covariance matrix is an important point. This matrix commonly exhibits a persymmetric structure: this is the case...
Guilhem Pailloux, Philippe Forster, Jean Philippe ...