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» The Restricted Isometry Property for block diagonal matrices
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CORR
2010
Springer
145views Education» more  CORR 2010»
13 years 2 months ago
Orthogonal symmetric Toeplitz matrices for compressed sensing: Statistical isometry property
Recently, the statistical restricted isometry property (RIP) has been formulated to analyze the performance of deterministic sampling matrices for compressed sensing. In this paper...
Kezhi Li, Lu Gan, Cong Ling
ICASSP
2011
IEEE
12 years 8 months ago
Deterministic compressed-sensing matrices: Where Toeplitz meets Golay
Recently, the statistical restricted isometry property (STRIP) has been formulated to analyze the performance of deterministic sampling matrices for compressed sensing. In this pa...
Kezhi Li, Cong Ling, Lu Gan
JMLR
2010
158views more  JMLR 2010»
12 years 12 months ago
Restricted Eigenvalue Properties for Correlated Gaussian Designs
Methods based on 1-relaxation, such as basis pursuit and the Lasso, are very popular for sparse regression in high dimensions. The conditions for success of these methods are now ...
Garvesh Raskutti, Martin J. Wainwright, Bin Yu
SIVP
2010
184views more  SIVP 2010»
13 years 3 months ago
Multichannel AR parameter estimation from noisy observations as an errors-in-variables issue
In various applications from radar processing to mobile communication systems based on CDMA for instance, M-AR multichannel processes are often considered and may be combined with...
Julien Petitjean, Eric Grivel, William Bobillet, P...
CORR
2010
Springer
149views Education» more  CORR 2010»
13 years 5 months ago
A probabilistic and RIPless theory of compressed sensing
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 ...
Emmanuel J. Candès, Yaniv Plan