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Conference Papers Year : 2013

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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Dates and versions

hal-01247024 , version 1 (21-12-2015)

Identifiers

  • HAL Id : hal-01247024 , version 1

Cite

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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