9 search results - page 1 / 2 » Stochastic inverse matrix computation with minimum variance ... |
AMC
2008
13 years 4 months ago
2008
CORR
2011
Springer
12 years 11 months ago
2011
Springer
Abstract—We consider a certain class of large random matrices, composed of independent column vectors with zero mean and different covariance matrices, and derive asymptotically ...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
This paper aims at deriving a relationship between minimum mean square error (MMSE) based source separation and independent component analysis (ICA) based on the Kullback-Leibler ...
ASPDAC
2007
ACM
13 years 8 months ago
2007
ACM
With semiconductor fabrication technologies scaled below 100 nm, the design-manufacturing interface becomes more and more complicated. The resultant process variability causes a nu...
TSP
2010
12 years 11 months ago
2010
Graphical models are a framework for representing and exploiting prior conditional independence structures within distributions using graphs. In the Gaussian case, these models are...