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Sparsity in array processing: methods and performances

Abstract : In the last few years, we witnessed to an extraordinary and still growing development of sparse signal recovery in a wide number of applicative contexts such as communications, biomedicine, radar, microwave imaging, source localization, astronomy, seismology... In many realistic array processing applications, the sparsity nature underlying various signals/arrays has to be exploit in recovery algorithms to enhance their performances. In this special session, most recent results in estimators based on sparsity-­‐promoting criteria is proposed.
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https://hal-supelec.archives-ouvertes.fr/hal-01247024
Contributor : Remy Boyer <>
Submitted on : Monday, December 21, 2015 - 4:45:59 AM
Last modification on : Wednesday, September 16, 2020 - 4:46:10 PM
Long-term archiving on: : Saturday, April 29, 2017 - 11:07:03 PM

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  • HAL Id : hal-01247024, version 1

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Remy Boyer, Pascal Larzabal. Sparsity in array processing: methods and performances . IEEE Sensor Array and Multichannel signal processing workshop - SAM 2013, Nov 2013, Coruna, Spain. ⟨hal-01247024⟩

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