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ICASSP
2010
IEEE
13 years 8 months ago
Reconstruction of sparse signals from distorted randomized measurements
In this paper we show that, surprisingly, it is possible to recover sparse signals from nonlinearly distorted measurements, even if the nonlinearity is unknown. Assuming just that...
Petros Boufounos
CORR
2010
Springer
93views Education» more  CORR 2010»
13 years 8 months ago
Rank Awareness in Joint Sparse Recovery
In this paper we revisit the sparse multiple measurement vector (MMV) problem, where the aim is to recover a set of jointly sparse multichannel vectors from incomplete measurement...
Mike E. Davies, Yonina C. Eldar
CORR
2010
Springer
164views Education» more  CORR 2010»
13 years 8 months ago
Sub-Nyquist Sampling of Short Pulses: Part I
We develop sub-Nyquist sampling systems for analog signals comprised of several, possibly overlapping, finite duration pulses with unknown shapes and time positions. Efficient sam...
Ewa Matusiak, Yonina C. Eldar
TSP
2008
151views more  TSP 2008»
13 years 8 months ago
Reduce and Boost: Recovering Arbitrary Sets of Jointly Sparse Vectors
The rapid developing area of compressed sensing suggests that a sparse vector lying in a high dimensional space can be accurately and efficiently recovered from only a small set of...
Moshe Mishali, Yonina C. Eldar
CN
2004
256views more  CN 2004»
13 years 8 months ago
A line in the sand: a wireless sensor network for target detection, classification, and tracking
Intrusion detection is a surveillance problem of practical import that is well suited to wireless sensor networks. In this paper, we study the application of sensor networks to the...
Anish Arora, Prabal Dutta, Sandip Bapat, Vinod Kul...