14 search results - page 2 / 3 » Identification of Matrices Having a Sparse Representation |
CORR
2007
Springer
13 years 4 months ago
2007
Springer
We consider signals and operators in finite dimension which have sparse time-frequency representations. As main result we show that an S-sparse Gabor representation in Cn with re...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
Compressive sensing (CS) is an emerging approach for acquisition of signals having a sparse or compressible representation in some basis. While CS literature has mostly focused on...
BMCBI
2011
12 years 11 months ago
2011
Background: Typical analysis of microarray data ignores the correlation between gene expression values. In this paper we present a model for microarray data which specifically all...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
A collaborative framework for detecting the different sources in mixed signals is presented in this paper. The approach is based on CHiLasso, a convex collaborative hierarchical s...
NIPS
2004
13 years 6 months ago
2004
We show how to build hierarchical, reduced-rank representation for large stochastic matrices and use this representation to design an efficient algorithm for computing the largest...