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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Contributor : Pierre Borgnat <>
Submitted on : Wednesday, February 4, 2009 - 1:55:46 PM
Last modification on : Thursday, April 19, 2018 - 2:54:03 PM
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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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