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» A Theory for Sampling Signals From a Union of Subspaces
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JCP
2007
115views more  JCP 2007»
13 years 7 months ago
Toward The Use Of The Time-Warping Principle With Discrete-Time Sequences
Abstract—This paper establishes a new coherent framework to extend the class of unitary warping operators to the case of discrete–time sequences. Providing some a priori consid...
Arnaud Jarrot, Cornel Ioana, André Quinquis
GLOBECOM
2009
IEEE
14 years 2 months ago
Multiple Target Localization Using Compressive Sensing
Abstract— In this paper, a novel multiple target localization approach is proposed by exploiting the compressive sensing theory, which indicates that sparse or compressible signa...
Chen Feng, Shahrokh Valaee, Zhenhui Tan
ICASSP
2008
IEEE
14 years 2 months ago
Finding needles in noisy haystacks
The theory of compressed sensing shows that samples in the form of random projections are optimal for recovering sparse signals in high-dimensional spaces (i.e., finding needles ...
Rui M. Castro, Jarvis Haupt, Robert Nowak, Gil M. ...
SIAMCO
2008
130views more  SIAMCO 2008»
13 years 7 months ago
Important Moments in Systems and Control
The moment problem matured from its various special forms in the late 19th and early 20th Centuries to a general class of problems that continues to exert profound influence on the...
Christopher I. Byrnes, Anders Lindquist
ICASSP
2010
IEEE
13 years 6 months ago
Human detection in images via L1-norm Minimization Learning
In recent years, sparse representation originating from signal compressed sensing theory has attracted increasing interest in computer vision research community. However, to our b...
Ran Xu, Baochang Zhang, Qixiang Ye, Jianbin Jiao