260 search results - page 18 / 52 » Compressed Sensing of Analog Signals |
CORR
2010
Springer
13 years 10 months ago
2010
Springer
The fundamental principle underlying compressed sensing is that a signal, which is sparse under some basis representation, can be recovered from a small number of linear measuremen...
CORR
2010
Springer
13 years 10 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
2010
Springer
13 years 7 months ago
2010
Springer
Recently, the statistical restricted isometry property (RIP) has been formulated to analyze the performance of deterministic sampling matrices for compressed sensing. In this paper...
ICML
2007
IEEE
14 years 10 months ago
2007
IEEE
This paper introduces a new problem for which machine-learning tools may make an impact. The problem considered is termed "compressive sensing", in which a real signal o...
CVPR
2011
IEEE
13 years 6 months ago
2011
IEEE
Compressive Sensing has become one of the standard methods of face recognition within the literature. We show, however, that the sparsity assumption which underpins much of this w...