142 search results - page 8 / 29 » Recovery of Sparsely Corrupted Signals |
66
Voted
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
We provide two compressive sensing (CS) recovery algorithms based on iterative hard-thresholding. The algorithms, collectively dubbed as algebraic pursuits (ALPS), exploit the res...
87
Voted
PIMRC
2010
IEEE
14 years 7 months ago
2010
IEEE
In this paper we focus on compressive sampling (CS) based ultra wideband (UWB) differential detection. We formulate an optimization problem to jointly recover the sparse received U...
69
Voted
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Assuming that a set of source signals is sparsely representable in a given dictionary, we show how their sparse recovery fails whenever we can only measure a convolved observation...
ICASSP
2009
IEEE
15 years 4 months ago
2009
IEEE
In this paper, we show how two classical sparse recovery algorithms, Orthogonal Matching Pursuit and Basis Pursuit, can be naturally extended to recover block-sparse solutions for...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
In this paper, we propose a Gaussian Process Regression (GPR) framework for concealment of corrupted motion vectors in predictive video coding of packet video systems. The problem...