NDLI: Subspace pursuit embedded in Orthogonal Matching Pursuit

Content Provider	IEEE Xplore Digital Library
Author	Ambat, S.K. Chatterjee, S. Hari, K.V.S.
Copyright Year	2012
Description	Author affiliation: Statistical Signal Processing Laboratory, Dept. of Electrical Communication Engg., Indian Institute of Science, Bangalore, India-560012 (Ambat, S.K.; Hari, K.V.S.) \|\| Communication Theory Laboratory, School of Electrical Engineering, KTH Royal Institute of Technology, Stockholm, Sweden-10044 (Chatterjee, S.)
Abstract	Orthogonal Matching Pursuit (OMP) is a popular greedy pursuit algorithm widely used for sparse signal recovery from an undersampled measurement system. However, one of the main shortcomings of OMP is its irreversible selection procedure of columns of measurement matrix. i.e., OMP does not allow removal of the columns wrongly estimated in any of the previous iterations. In this paper, we propose a modification in OMP, using the well known Subspace Pursuit (SP), to refine the subspace estimated by OMP at any iteration and hence boost the sparse signal recovery performance of OMP. Using simulations we show that the proposed scheme improves the performance of OMP in clean and noisy measurement cases.
Starting Page	1
Ending Page	5
File Size	132850
Page Count	5
File Format	PDF
ISBN	9781467348232
ISSN	21593450
e-ISBN	9781467348249
e-ISBN	9781467348225
DOI	10.1109/TENCON.2012.6412325
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-19
Publisher Place	Philippines
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Matching pursuit algorithms Atomic measurements Vectors Noise measurement Sparse matrices Compressed sensing Signal reconstruction Greedy Pursuits Sparse Recovery
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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