Bayesian compressive sensing and projection optimization

Shihao Ji, Lawrence Carin

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

28 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

Fingerprint Dive into the research topics of 'Bayesian compressive sensing and projection optimization'. Together they form a unique fingerprint.

Cite this