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» On sparse signal representations
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ICASSP
2011
IEEE
14 years 3 months ago
Joint frequency spectral lag representation for cross-frequency modulation analysis in the brain
The concepts of modulation frequency along with modulation spectra are originally encountered in acoustics, speech and audio processing. The modulation spectrum, a function of aco...
Ali Yener Mutlu, Selin Aviyente
CVPR
2008
IEEE
16 years 1 months ago
Discriminative learned dictionaries for local image analysis
Sparse signal models have been the focus of much recent research, leading to (or improving upon) state-of-the-art results in signal, image, and video restoration. This article ext...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
ICASSP
2009
IEEE
15 years 6 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 ...
IEEECGIV
2009
IEEE
15 years 6 months ago
Two Dimensional Compressive Classifier for Sparse Images
The theory of compressive sampling involves making random linear projections of a signal. Provided signal is sparse in some basis, small number of such measurements preserves the ...
Armin Eftekhari, Hamid Abrishami Moghaddam, Massou...
ICASSP
2011
IEEE
14 years 3 months ago
Sparse coding and dictionary learning based on the MDL principle
The power of sparse signal coding with learned overcomplete dictionaries has been demonstrated in a variety of applications and fields, from signal processing to statistical infe...
Ignacio Ramírez, Guillermo Sapiro