{"title":"Application of orthogonal elements in a-priori reconstruction: Fourier and polynomial techniques","authors":"R. Andrews, A. G. Law, A.D. Strilaeff, R. Sloboda","doi":"10.1109/PACRIM.1989.48311","DOIUrl":null,"url":null,"abstract":"The mathematical setting assumed is the Hilbert space. Two image reconstruction problems are summarized. In one (from emission tomography), an unknown member, f, of the space is sought as a linear combination of linearly independent elements g/sub 1/, g/sub 2/, . . ., g/sub n/, under the hypothesis that the inner products are known for 1<or=j<or=n. The other situation, from signal sampling, has an analogous mathematical structure, but it involves a transform, T, and the Fourier transform is used. The Fourier techniques can be carried out efficiently by taking advantage of the FFT, but ill-conditioning can appear in the linear system which arises in the a priori reconstruction process. With, instead, reconstruction in the original space, a polynomial choice for the basis function provides some interesting machinery through properties inherited from orthogonality.<<ETX>>","PeriodicalId":256287,"journal":{"name":"Conference Proceeding IEEE Pacific Rim Conference on Communications, Computers and Signal Processing","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Proceeding IEEE Pacific Rim Conference on Communications, Computers and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PACRIM.1989.48311","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The mathematical setting assumed is the Hilbert space. Two image reconstruction problems are summarized. In one (from emission tomography), an unknown member, f, of the space is sought as a linear combination of linearly independent elements g/sub 1/, g/sub 2/, . . ., g/sub n/, under the hypothesis that the inner products are known for 1>