| dc.contributor.author | Wei, Dennis | |
| dc.date.accessioned | 2010-10-01T17:48:14Z | |
| dc.date.available | 2010-10-01T17:48:14Z | |
| dc.date.issued | 2009-10 | |
| dc.date.submitted | 2009-08 | |
| dc.identifier.isbn | 978-1-4244-2709-3 | |
| dc.identifier.isbn | 978-1-4244-2711-6 | |
| dc.identifier.other | INSPEC Accession Number: 10906649 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/58829 | |
| dc.description.abstract | This paper presents a method for designing sparse FIR filters by means of a sequence of p-norm minimization problems with p gradually decreasing from 1 toward 0. The lack of convexity for p < 1 is partially overcome by appropriately initializing each subproblem. A necessary condition of optimality is derived for the subproblem of p-norm minimization, forming the basis for an efficient local search algorithm. Examples demonstrate that the method is capable of producing filters approaching the optimal level of sparsity for a given set of specifications. | en_US |
| dc.description.sponsorship | Massachusetts Institute of Technology. William Asbjornsen Albert Memorial Fellowship | en_US |
| dc.description.sponsorship | BAE Systems (PO 112991) | en_US |
| dc.description.sponsorship | Texas Instruments Leadership University Program | en_US |
| dc.language.iso | en_US | |
| dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
| dc.relation.isversionof | http://dx.doi.org/10.1109/SSP.2009.5278626 | en_US |
| dc.rights | Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. | en_US |
| dc.source | IEEE | en_US |
| dc.subject | FIR digital filters | en_US |
| dc.subject | Sparse filters | en_US |
| dc.subject | non-convex optimization | en_US |
| dc.title | Non-convex optimization for the design of sparse FIR filters | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Wei, D. “Non-convex optimization for the design of sparse fir filters.” Statistical Signal Processing, 2009. SSP '09. IEEE/SP 15th Workshop on. 2009. 117-120. © 2009 Institute of Electrical and Electronics Engineers | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
| dc.contributor.approver | Wei, Dennis | |
| dc.contributor.mitauthor | Wei, Dennis | |
| dc.relation.journal | IEEE/SP 15th Workshop on Statistical Signal Processing, 2009. SSP '09 | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dspace.orderedauthors | Wei, Dennis | en |
| mit.license | PUBLISHER_POLICY | en_US |
| mit.metadata.status | Complete | |
