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» Covariance Matrix Estimation With Heterogeneous Samples
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TSP
2008
115views more  TSP 2008»
13 years 8 months ago
A Bayesian Approach to Adaptive Detection in Nonhomogeneous Environments
Abstract--We consider the adaptive detection of a signal of interest embedded in colored noise, when the environment is nonhomogeneous, i.e., when the training samples used for ada...
Stéphanie Bidon, Olivier Besson, Jean-Yves ...
IGARSS
2009
13 years 6 months ago
A Novel STAP Algorithm using Sparse Recovery Technique
A novel STAP algorithm based on sparse recovery technique, called CS-STAP, were presented. Instead of using conventional maximum likelihood estimation of covariance matrix, our met...
Ke Sun, Hao Zhang, Gang Li, Huadong Meng, Xiqin Wa...
PR
2008
144views more  PR 2008»
13 years 8 months ago
Kernel quadratic discriminant analysis for small sample size problem
It is generally believed that quadratic discriminant analysis (QDA) can better fit the data in practical pattern recognition applications compared to linear discriminant analysis ...
Jie Wang, Konstantinos N. Plataniotis, Juwei Lu, A...
ICDM
2009
IEEE
139views Data Mining» more  ICDM 2009»
14 years 3 months ago
A Bootstrap Approach to Eigenvalue Correction
—Eigenvalue analysis is an important aspect in many data modeling methods. Unfortunately, the eigenvalues of the sample covariance matrix (sample eigenvalues) are biased estimate...
Anne Hendrikse, Luuk J. Spreeuwers, Raymond N. J. ...
MA
2010
Springer
140views Communications» more  MA 2010»
13 years 7 months ago
On the limiting spectral distribution of the covariance matrices of time-lagged processes
We consider two continuous-time Gaussian processes, one being partially correlated to a time-lagged version of the other. We first give the limiting spectral distribution for the ...
Christian Y. Robert, Mathieu Rosenbaum