On the performance of adaptive sensing for sparse signal inference

R.M. Castro

On the performance of adaptive sensing for sparse signal inference

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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 language	English
Title of host publication	10th International Conference on Sampling Theory and Applications (SampTA'13, Bremen, Germany, July 1-5, 2013)
Publisher	EURASIP
Pages	160-163
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	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

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title = "On the performance of adaptive sensing for sparse signal inference",

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.",

author = "R.M. Castro",

year = "2013",

language = "English",

pages = "160--163",

booktitle = "10th International Conference on Sampling Theory and Applications (SampTA'13, Bremen, Germany, July 1-5, 2013)",

publisher = "EURASIP",

note = "conference; 10th International Conference on Sampling Theory and Applications; 2013-07-01; 2013-07-05 ; Conference date: 01-07-2013 Through 05-07-2013",

}

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T1 - On the performance of adaptive sensing for sparse signal inference

AU - Castro, R.M.

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

M3 - Conference contribution

SP - 160

EP - 163

BT - 10th International Conference on Sampling Theory and Applications (SampTA'13, Bremen, Germany, July 1-5, 2013)

PB - EURASIP

T2 - conference; 10th International Conference on Sampling Theory and Applications; 2013-07-01; 2013-07-05

Y2 - 1 July 2013 through 5 July 2013

ER -

On the performance of adaptive sensing for sparse signal inference

Abstract

Conference

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