21 search results - page 2 / 5 » Super-Resolution With Sparse Mixing Estimators |
ICA
2007
Springer
13 years 8 months ago
2007
Springer
We propose a new method for estimating the mixing matrix, A, in the linear model x(t) = As(t), t = 1, . . . , T, for the problem of underdetermined Sparse Component Analysis (SCA)....
CISS
2008
IEEE
13 years 11 months ago
2008
IEEE
—In this paper we present an Information Theoretic Estimator for the number of sources mutually disjoint in a linear mixing model. The approach follows the Minimum Description Le...
ICASSP
2010
IEEE
12 years 11 months ago
2010
IEEE
The under-determined blind source separation (BSS) problem is usually solved using the sparse component analysis (SCA) technique. In SCA, the BSS is usually solved in two steps, w...
WSOM
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. We show how the “Online Sparse Coding Neural Gas” algorithm can be applied to a more realistic model of the “Cocktail Party Problem”. We consider a setting where ...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Abstract--We apply Guo and Wang's relaxed belief propagation (BP) method to the estimation of a random vector from linear measurements followed by a componentwise probabilisti...