On the performance of adaptive sensing for sparse signal inference

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Abstract

In this short paper we survey recent results characterizing the fundamental draws and limitations of adaptive sensing for sparse signal inference. We consider two different adaptive sensing paradigms, based either on single-entry or linear measurements. Signal magnitude requirements for reliable inference are shown for two different inference goals, namely signal detection and signal support estimation.
Original languageEnglish
Title of host publication10th International Conference on Sampling Theory and Applications (SampTA'13, Bremen, Germany, July 1-5, 2013)
PublisherEURASIP
Pages160-163
Publication statusPublished - 2013
Eventconference; 10th International Conference on Sampling Theory and Applications; 2013-07-01; 2013-07-05 -
Duration: 1 Jul 20135 Jul 2013

Conference

Conferenceconference; 10th International Conference on Sampling Theory and Applications; 2013-07-01; 2013-07-05
Period1/07/135/07/13
Other10th International Conference on Sampling Theory and Applications

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