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

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.
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https://hal-ens-lyon.archives-ouvertes.fr/ensl-00358777
Contributor : Pierre Borgnat Connect in order to contact the contributor
Submitted on : Wednesday, February 4, 2009 - 1:55:46 PM
Last modification on : Wednesday, November 20, 2019 - 2:57:39 AM
Long-term archiving on: : Friday, October 12, 2012 - 10:50:39 AM

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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, IMA, Dec 2008, Cirencester, United Kingdom. ⟨ensl-00358777⟩

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