35 search results - page 3 / 7 » Sparse approximation property and stable recovery of sparse ... |
TSP
2010
13 years 1 days ago
2010
We present two simple methods for recovering sparse signals from a series of noisy observations. The theory of compressed sensing (CS) requires solving a convex constrained minimiz...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
This paper introduces a simple and very general theory of compressive sensing. In this theory, the sensing mechanism simply selects sensing vectors independently at random from a ...
CORR
2008
Springer
13 years 5 months ago
2008
Springer
In this note, we address the theoretical properties of p, a class of compressed sensing decoders that rely on p minimization with p (0, 1) to recover estimates of sparse and compr...
ICASSP
2011
IEEE
12 years 9 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...
CISS
2008
IEEE
13 years 11 months ago
2008
IEEE
—Thus far, sparse representations have been exploited largely in the context of robustly estimating functions in a noisy environment from a few measurements. In this context, the...