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» Compressed Sensing and Redundant Dictionaries
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SCALESPACE
2007
Springer
14 years 1 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
ICASSP
2011
IEEE
12 years 11 months ago
Compressed sensing based method for ECG compression
Compressive sensing (CS) is a new approach for the acquisition and recovery of sparse signals that enables sampling rates significantly below the classical Nyquist rate. Based on...
Luisa F. Polania, Rafael E. Carrillo, Manuel Blanc...
CISS
2008
IEEE
14 years 2 months ago
1-Bit compressive sensing
Abstract—Compressive sensing is a new signal acquisition technology with the potential to reduce the number of measurements required to acquire signals that are sparse or compres...
Petros Boufounos, Richard G. Baraniuk
ICASSP
2009
IEEE
14 years 2 months ago
Sparse Decomposition over non-full-rank dictionaries
Sparse Decomposition (SD) of a signal on an overcomplete dictionary has recently attracted a lot of interest in signal processing and statistics, because of its potential applicat...
Massoud Babaie-Zadeh, Vincent Vigneron, Christian ...
ICIP
2008
IEEE
14 years 2 months ago
Best post-transforms selection in a rate-distortion sense
This paper deals with the optimization of a new technique of image compression. After the wavelet transform of an image, blocks of coefficients are further linearly decomposed us...
Xavier Delaunay, Emmanuel Christophe, Carole Thieb...