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dc.contributor.authorGoyal, Vivek K.
dc.contributor.authorDeshpande, Ajay A.
dc.contributor.authorSarma, Sanjay E
dc.date.accessioned2012-04-05T17:04:03Z
dc.date.available2012-04-05T17:04:03Z
dc.date.issued2010-02
dc.date.submitted2010-01
dc.identifier.issn1070-9908
dc.identifier.issn1558-2361
dc.identifier.otherINSPEC Accession Number: 11168441
dc.identifier.urihttp://hdl.handle.net/1721.1/69954
dc.description.abstractWe address the optimal sensor arrangement problem, which is the determination of a geometric configuration of sensors such that the mean-squared error (MSE) in the estimation of an unknown trigonometric polynomial is minimum. Unsurprisingly, an arrangement in which sensors are spaced uniformly in each dimension is optimal. However, for multidimensional problems the minimum MSE is achieved with a much larger class of configurations that we call generalized regular arrangements. These arrangements are not necessarily generated by lattices and may exhibit great nonuniformity locally.en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/lsp.2010.2041962en_US
dc.rightsArticle 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.sourceIEEEen_US
dc.titleGeneralized Regular Sampling of Trigonometric Polynomials and Optimal Sensor Arrangementen_US
dc.typeArticleen_US
dc.identifier.citationDeshpande, A., S.E. Sarma, and V.K. Goyal. “Generalized Regular Sampling of Trigonometric Polynomials and Optimal Sensor Arrangement.” IEEE Signal Processing Letters 17.4 (2010): 379–382. Web. 5 Apr. 2012. © 2010 Institute of Electrical and Electronics Engineersen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Electromagnetic and Electronic Systemsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Manufacturing and Productivityen_US
dc.contributor.departmentMassachusetts Institute of Technology. Research Laboratory of Electronicsen_US
dc.contributor.approverGoyal, Vivek K.
dc.contributor.mitauthorGoyal, Vivek K.
dc.contributor.mitauthorDeshpande, Ajay A.
dc.contributor.mitauthorSarma, Sanjay Emani
dc.relation.journalIEEE Signal Processing Lettersen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsDeshpande, A.; Sarma, S.E.; Goyal, V.K.en
dc.identifier.orcidhttps://orcid.org/0000-0003-2812-039X
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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