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.
Type de document :
Communication dans un congrès
IEEE Sensor Array and Multichannel signal processing workshop - SAM 2013, Nov 2013, Coruna, Spain. 〈www.gtec.udc.es/sam2014〉
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Contributeur : Remy Boyer <>
Soumis le : lundi 21 décembre 2015 - 04:45:59
Dernière modification le : jeudi 13 septembre 2018 - 15:24:04
Document(s) archivé(s) le : samedi 29 avril 2017 - 23:07:03

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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. 〈www.gtec.udc.es/sam2014〉. 〈hal-01247024〉

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