44 search results - page 1 / 9 » Variance-component based sparse signal reconstruction and mo... |
TSP
2010
12 years 11 months ago
2010
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
ICPR
2010
IEEE
13 years 6 months ago
2010
IEEE
We propose a general framework for simultaneous segmentation and modelling of signals based on an Equipartition Principle (EP). According to EP, the signal is divided into segment...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
We consider the problem of parameter estimation for signals characterized by sums of parameterized functions. We present a dynamic dictionary subset selection approach to paramete...
ICIP
2010
IEEE
13 years 2 months ago
2010
IEEE
An image representation framework based on structured sparse model selection is introduced in this work. The corresponding modeling dictionary is comprised of a family of learned ...
TSP
2010
12 years 11 months ago
2010
We study the distributed sampling and centralized reconstruction of two correlated signals, modeled as the input and output of an unknown sparse filtering operation. This is akin ...