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CORR
2010
Springer

Near-Oracle Performance of Greedy Block-Sparse Estimation Techniques from Noisy Measurements

14 years 16 days 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 matching pursuit and thresholding algorithms are analyzed under both adversarial and Gaussian noise models. In the adversarial setting, it is shown that estimation accuracy comes within a constant factor of the noise power. Under Gaussian noise, the Cram
Zvika Ben-Haim, Yonina C. Eldar
Added 09 Dec 2010
Updated 09 Dec 2010
Type Journal
Year 2010
Where CORR
Authors Zvika Ben-Haim, Yonina C. Eldar
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