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CORR
2010
Springer
169views Education» more  CORR 2010»
13 years 4 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 5 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
TSP
2010
12 years 11 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 5 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...
SDM
2009
SIAM
202views Data Mining» more  SDM 2009»
14 years 2 months ago
Proximity-Based Anomaly Detection Using Sparse Structure Learning.
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe,...