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Efficient atom selection strategy for iterative sparse approximations

Abstract : We propose a low-computational strategy for the efficient implementation of the "atom selection step" in sparse representation algorithms. The proposed procedure is based on simple tests enabling to identify subsets of atoms which cannot be selected. Our procedure applies on both discrete or continuous dictionaries. Experiments performed on DOA and Gaussian deconvolution problems show the computational gain induced by the proposed approach.
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Contributor : Cédric Herzet Connect in order to contact the contributor
Submitted on : Wednesday, November 28, 2018 - 10:34:16 AM
Last modification on : Friday, May 20, 2022 - 9:04:51 AM


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  • HAL Id : hal-01937501, version 1


Clément Dorffer, Angélique Drémeau, Cédric Herzet. Efficient atom selection strategy for iterative sparse approximations. iTWIST 2018 - International Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques, Nov 2018, Marseille, France. pp.1-3. ⟨hal-01937501⟩



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