7 search results - page 1 / 2 » Shrinkage algorithms for MMSE covariance estimation |
TSP
2010
12 years 11 months ago
2010
We address covariance estimation in the sense of minimum mean-squared error (MMSE) when the samples are Gaussian distributed. Specifically, we consider shrinkage methods which are ...
CSDA
2010
13 years 4 months ago
2010
We study a general algorithm to improve accuracy in cluster analysis that employs the James-Stein shrinkage effect in k-means clustering. We shrink the centroids of clusters towar...
TSP
2010
12 years 11 months ago
2010
This paper deals with the Bayesian signal denoising problem, assuming a prior based on a sparse representation modeling over a unitary dictionary. It is well known that the maximum...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
In this paper, a new adaptive beamforming algorithm with joint robustness against covariance matrix uncertainty as well as steering vector mismatch is proposed. First, the theoret...
ICC
2007
IEEE
13 years 11 months ago
2007
IEEE
— We present algorithms to suppress the asynchronous co-channel interference (CCI) in MIMO OFDM systems, which is becoming the dominant limiting factor in the performance of the ...