Missing data recovery using low rank matrix completion methods

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

Abstract

This paper presents a new method for data recovery exploiting low rank structure and convexity constraints. It is capable of handling arbitrary observation patterns and it can incorporate additional convex constraints such as non-negativity and finite bandwidth.

Original languageEnglish (US)
Title of host publication2012 IEEE Radar Conference
Subtitle of host publicationUbiquitous Radar, RADARCON 2012 - Conference Program
Pages101-106
Number of pages6
DOIs
StatePublished - Jul 30 2012
Event2012 IEEE Radar Conference: Ubiquitous Radar, RADARCON 2012 - Atlanta, GA, United States
Duration: May 7 2012May 11 2012

Publication series

NameIEEE National Radar Conference - Proceedings
ISSN (Print)1097-5659

Other

Other2012 IEEE Radar Conference: Ubiquitous Radar, RADARCON 2012
CountryUnited States
CityAtlanta, GA
Period5/7/125/11/12

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Pillai, U., Murthy, V., & Selesnick, I. (2012). Missing data recovery using low rank matrix completion methods. In 2012 IEEE Radar Conference: Ubiquitous Radar, RADARCON 2012 - Conference Program (pp. 101-106). [6212119] (IEEE National Radar Conference - Proceedings). https://doi.org/10.1109/RADAR.2012.6212119