Article

 

Sparse Recovery by means of Nonnegative Least Squares Public Deposited

Downloadable Content

Download PDF
https://ir.library.oregonstate.edu/concern/articles/dz010r91g

(c) 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. This is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article can be found at:  http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=97.

Descriptions

Attribute NameValues
Creator
Abstract
  • This short note demonstrates that sparse recovery can be achieved by an l₁-minimization ersatz easily implemented using a conventional nonnegative least squares algorithm. A connection with orthogonal matching pursuit is also highlighted. The preliminary results call for more investigations on the potential of the method and on its relations to classical sparse recovery algorithms.
Resource Type
DOI
Date Available
Date Issued
Citation
  • Foucart, S., & Koslicki, D. (2014). Sparse Recovery by Means of Nonnegative Least Squares. IEEE Signal Processing Letters, 21(4), 498-502. doi:10.1109/LSP.2014.2307064
Series
Keyword
Rights Statement
Funding Statement (additional comments about funding)
  • This work is supported by the NSF under grant DMS-1120622.
Publisher
Peer Reviewed
Language
Replaces
Additional Information
  • description.provenance : Made available in DSpace on 2014-07-11T19:13:16Z (GMT). No. of bitstreams: 1 KoslickiDavidMathematicsSparseRecoveryMeans.pdf: 501438 bytes, checksum: 4435c49a124b228d351edb4869f43118 (MD5) Previous issue date: 2014-04
  • description.provenance : Submitted by Erin Clark (erin.clark@oregonstate.edu) on 2014-07-11T19:13:05Z No. of bitstreams: 1 KoslickiDavidMathematicsSparseRecoveryMeans.pdf: 501438 bytes, checksum: 4435c49a124b228d351edb4869f43118 (MD5)
  • description.provenance : Approved for entry into archive by Erin Clark(erin.clark@oregonstate.edu) on 2014-07-11T19:13:16Z (GMT) No. of bitstreams: 1 KoslickiDavidMathematicsSparseRecoveryMeans.pdf: 501438 bytes, checksum: 4435c49a124b228d351edb4869f43118 (MD5)

Relationships

Parents:

This work has no parents.

Items