Title :
Missing data recovery using low rank matrix completion methods
Author :
Pillai, Unnikrishna ; Murthy, Vinay ; Selesnick, Ivan
Author_Institution :
Polytech. Inst. of NYU, Brooklyn, NY, USA
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.
Keywords :
image resolution; matrix algebra; radar imaging; radar resolution; synthetic aperture radar; arbitrary observation patterns; convexity constraints; finite bandwidth; imaging platform; low-rank matrix completion method; missing data recovery; nonnegativity bandwidth; structured radar data recovery; synthetic aperture radar; Bandwidth; Data models; History; Motion pictures; Periodic structures; Reconstruction algorithms; Sparse matrices;
Conference_Titel :
Radar Conference (RADAR), 2012 IEEE
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4673-0656-0
DOI :
10.1109/RADAR.2012.6212119
