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» Blind Compressed Sensing
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113
Voted
CISS
2008
IEEE
15 years 7 months ago
Reconstruction of compressively sensed images via neurally plausible local competitive algorithms
Abstract—We develop neurally plausible local competitive algorithms (LCAs) for reconstructing compressively sensed images. Reconstruction requires solving a sparse approximation ...
Robert L. Ortman, Christopher J. Rozell, Don H. Jo...
90
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Compressive Sensing for over-the-air ultrasound
The advent of Compressive Sensing has provided significant mathematical tools to enhance the sensing capabilities of hardware devices. In this paper we apply Compressive Sensing ...
Petros Boufounos
DCC
2007
IEEE
16 years 20 days ago
Quantization of Sparse Representations
Compressive sensing (CS) is a new signal acquisition technique for sparse and compressible signals. Rather than uniformly sampling the signal, CS computes inner products with rand...
Petros Boufounos, Richard G. Baraniuk
87
Voted
SCALESPACE
2007
Springer
15 years 7 months ago
Best Basis Compressed Sensing
This paper proposes an extension of compressed sensing that allows to express the sparsity prior in a dictionary of bases. This enables the use of the random sampling strategy of c...
Gabriel Peyré
99
Voted
ICASSP
2008
IEEE
15 years 7 months ago
Compressive sensing and waveform design for the identification of Linear time-varying systems
In this paper, we investigate the application of compressive sensing and waveform design for estimating linear time-varying system characteristics. Based on the fact that the spre...
Jun Jun Zhang, Antonia S. Papandreou