Sequentially designed compressed sensing

Jarvis Haupt, Richard Baraniuk, Rui Castro, Robert Nowak

Research output: Chapter in Book/Report/Conference proceedingConference contribution

40 Scopus citations

Abstract

A sequential adaptive compressed sensing procedure for signal support recovery is proposed and analyzed. The procedure is based on the principle of distilled sensing, and makes used of sparse sensing matrices to perform sketching observations able to quickly identify irrelevant signal components. It is shown that adaptive compressed sensing enables recovery of weaker sparse signals than those that can be recovered using traditional non-adaptive compressed sensing approaches.

Original languageEnglish (US)
Title of host publication2012 IEEE Statistical Signal Processing Workshop, SSP 2012
Pages401-404
Number of pages4
DOIs
StatePublished - Nov 6 2012
Event2012 IEEE Statistical Signal Processing Workshop, SSP 2012 - Ann Arbor, MI, United States
Duration: Aug 5 2012Aug 8 2012

Publication series

Name2012 IEEE Statistical Signal Processing Workshop, SSP 2012

Other

Other2012 IEEE Statistical Signal Processing Workshop, SSP 2012
CountryUnited States
CityAnn Arbor, MI
Period8/5/128/8/12

Keywords

  • Adaptive sensing
  • compressed sensing
  • support recovery

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    Haupt, J., Baraniuk, R., Castro, R., & Nowak, R. (2012). Sequentially designed compressed sensing. In 2012 IEEE Statistical Signal Processing Workshop, SSP 2012 (pp. 401-404). [6319715] (2012 IEEE Statistical Signal Processing Workshop, SSP 2012). https://doi.org/10.1109/SSP.2012.6319715