Shannon Seminar Room (a105) Place du Levant 3, Maxwell Building, 1st floor -- Wednesday, 23 April 2014 at 10:00 (45 min.)
{
"name":"Sensing matrix design criteria for adaptive compressed sensing",
"description":"The quest for optimal sensing operators is crucial in the design of efficient architectures that perform compressive sampling of analog signals. While exact theoretical results exist for general sensing operators that guarantee the recovery of sparse signals, such guarantees are strict and often neglected in practical implementations. Moreover, natural signals are only approximately sparse, but often exhibit correlation properties that suggest a further possible optimization of the sensing operator under some signal-domain priors.",
"startDate":"2014-04-23",
"endDate":"2014-04-23",
"startTime":"10:00",
"endTime":"10:45",
"location":"Shannon Seminar Room (a105) Place du Levant 3, Maxwell Building, 1st floor",
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The quest for optimal sensing operators is crucial in the design of efficient architectures that perform compressive sampling of analog signals. While exact theoretical results exist for general sensing operators that guarantee the recovery of sparse signals, such guarantees are strict and often neglected in practical implementations. Moreover, natural signals are only approximately sparse, but often exhibit correlation properties that suggest a further possible optimization of the sensing operator under some signal-domain priors.
