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.
|Title of host publication||10th International Conference on Sampling Theory and Applications (SampTA'13, Bremen, Germany, July 1-5, 2013)|
|Publication status||Published - 2013|
|Event||conference; 10th International Conference on Sampling Theory and Applications; 2013-07-01; 2013-07-05 - |
Duration: 1 Jul 2013 → 5 Jul 2013
|Conference||conference; 10th International Conference on Sampling Theory and Applications; 2013-07-01; 2013-07-05|
|Period||1/07/13 → 5/07/13|
|Other||10th International Conference on Sampling Theory and Applications|