On two-dimensional polynomial predictors

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dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorAstola, Jaakkoen_US
dc.contributor.authorNeuvo, Yrjöen_US
dc.contributor.authorRusu, Corneliuen_US
dc.contributor.departmentTampere Universityen_US
dc.contributor.departmentResearch Servicesen_US
dc.contributor.departmentTechnical University of Cluj-Napocaen_US
dc.date.accessioned2021-01-27T09:11:55Z
dc.date.available2021-01-27T09:11:55Z
dc.date.issued2020en_US
dc.description.abstractMany signals in nature and engineering systems can be locally modeled as relatively low degree polynomials, thus one-dimensional polynomial predictive filters are useful especially in time-critical systems. The goal of this paper is to introduce the two-dimensional polynomial predictive FIR filters and present few of their properties. First we discuss previous main results in one-dimensional polynomial predictive filters. Then we show how to find the coefficients and the system functions of the minimum area polynomial predictor, and we present the recursive form for the system function of a minimum area polynomial predictor. Finally, we approach the general form of 2D polynomial predictors.en
dc.description.versionPeer revieweden
dc.format.extent5
dc.format.extent2254-2258
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationAstola , J , Neuvo , Y & Rusu , C 2020 , On two-dimensional polynomial predictors . in 28th European Signal Processing Conference, EUSIPCO 2020 - Proceedings . , 9287438 , European Signal Processing Conference , IEEE , pp. 2254-2258 , European Signal Processing Conference , Amsterdam , Netherlands , 24/08/2020 . https://doi.org/10.23919/Eusipco47968.2020.9287438en
dc.identifier.doi10.23919/Eusipco47968.2020.9287438en_US
dc.identifier.isbn9789082797053
dc.identifier.issn2219-5491
dc.identifier.issn2076-1465
dc.identifier.otherPURE UUID: ecde90ea-a5e7-441e-8837-7cfc065e3627en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/ecde90ea-a5e7-441e-8837-7cfc065e3627en_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85099319489&partnerID=8YFLogxKen_US
dc.identifier.otherPURE LINK: https://www.eurasip.org/Proceedings/Eusipco/Eusipco2020/pdfs/0002254.pdfen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/55502598/On_Two_Dimensional_Polynomial_Predictors.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/102358
dc.identifier.urnURN:NBN:fi:aalto-202101271669
dc.language.isoenen
dc.relation.ispartofEuropean Signal Processing Conferenceen
dc.relation.ispartofseries28th European Signal Processing Conference, EUSIPCO 2020 - Proceedingsen
dc.relation.ispartofseriesEuropean Signal Processing Conferenceen
dc.rightsopenAccessen
dc.titleOn two-dimensional polynomial predictorsen
dc.typeConference article in proceedingsfi
dc.type.versionpublishedVersion
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