Bayesian compressive sensing and projection optimization

Shihao Ji, Lawrence Carin

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

38 Scopus citations

Abstract

This paper introduces a new problem for which machine-learning tools may make an impact. The problem considered is termed "compressive sensing", in which a real signal of dimension N is measured accurately based on K
Original languageEnglish (US)
Title of host publicationACM International Conference Proceeding Series
Pages377-384
Number of pages8
DOIs
StatePublished - Aug 23 2007
Externally publishedYes

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