Sparse time-frequency distributions of chirps from a compressed sensing perspective

Patrick Flandrin 1 Pierre Borgnat 1
1 Phys-ENS - Laboratoire de Physique de l'ENS Lyon
Abstract : Considering that multicomponent chirp signals are sparse in the time-frequency domain, it is possible to attach to them highly localized distributions thanks to a compressed sensing approach based on very few measurements in the ambiguity plane. The principle of the technique is described, with emphasis on the choice of the measurement subset for which an optimality criterion is proposed.
Keywords : time-frequency analysis compressed sensing
Type de document :
Communication dans un congrès
8th IMA International Conference on Mathematics in Signal Processing, Dec 2008, Cirencester, United Kingdom. IMA, 2008
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https://hal-ens-lyon.archives-ouvertes.fr/ensl-00358777
Contributeur : Pierre Borgnat <>
Soumis le : mercredi 4 février 2009 - 13:55:46
Dernière modification le : jeudi 19 avril 2018 - 14:54:03
Document(s) archivé(s) le : vendredi 12 octobre 2012 - 10:50:39

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  • HAL Id : ensl-00358777, version 1

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Patrick Flandrin, Pierre Borgnat. Sparse time-frequency distributions of chirps from a compressed sensing perspective. 8th IMA International Conference on Mathematics in Signal Processing, Dec 2008, Cirencester, United Kingdom. IMA, 2008. 〈ensl-00358777〉

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