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TSP
2010
13 years 2 months ago
Coherence-based performance guarantees for estimating a sparse vector under random noise
We consider the problem of estimating a deterministic sparse vector x0 from underdetermined measurements Ax0 +w, where w represents white Gaussian noise and A is a given determinis...
Zvika Ben-Haim, Yonina C. Eldar, Michael Elad
ICASSP
2010
IEEE
13 years 7 months ago
Coherence-based near-oracle performance guarantees for sparse estimation under Gaussian noise
We consider the problem of estimating a deterministic sparse vector x0 from underdetermined measurements Ax0 + w, where w represents white Gaussian noise and A is a given determin...
Zvika Ben-Haim, Yonina C. Eldar, Michael Elad
CORR
2010
Springer
169views Education» more  CORR 2010»
13 years 7 months ago
Near-Oracle Performance of Greedy Block-Sparse Estimation Techniques from Noisy Measurements
This paper examines the ability of greedy algorithms to estimate a block sparse parameter vector from noisy measurements. In particular, block sparse versions of the orthogonal mat...
Zvika Ben-Haim, Yonina C. Eldar
ICASSP
2010
IEEE
13 years 7 months ago
On unbiased estimation of sparse vectors corrupted by Gaussian noise
We consider the estimation of a sparse parameter vector from measurements corrupted by white Gaussian noise. Our focus is on unbiased estimation as a setting under which the difï¬...
Alexander Jung, Zvika Ben-Haim, Franz Hlawatsch, Y...
ICASSP
2011
IEEE
12 years 11 months ago
Compressive sensing meets game theory
We introduce the Multiplicative Update Selector and Estimator (MUSE) algorithm for sparse approximation in underdetermined linear regression problems. Given f = Φα∗ + µ, the ...
Sina Jafarpour, Robert E. Schapire, Volkan Cevher