{"title":"一种快速hermite变换及其在蛋白质结构测定中的应用","authors":"Gregory Leibon, D. Rockmore, G. Chirikjian","doi":"10.1145/1277500.1277519","DOIUrl":null,"url":null,"abstract":"We discuss algorithms for a fast and stable approximation of the Hermite transform of a compactly supported function on the real line, attainable via an application of a fast algebraic algorithm for computing sums associated to a three-term relation. Trade-offs between approximation in bandwidth (in the Hermite sense) and size of the support region are addressed. Generalizations to any family of orthogonal polynomials are outlined. Applications to the determination of protein structure are discussed.","PeriodicalId":308716,"journal":{"name":"Symbolic-Numeric Computation","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"A fast hermite transform with applications to protein structure determination\",\"authors\":\"Gregory Leibon, D. Rockmore, G. Chirikjian\",\"doi\":\"10.1145/1277500.1277519\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We discuss algorithms for a fast and stable approximation of the Hermite transform of a compactly supported function on the real line, attainable via an application of a fast algebraic algorithm for computing sums associated to a three-term relation. Trade-offs between approximation in bandwidth (in the Hermite sense) and size of the support region are addressed. Generalizations to any family of orthogonal polynomials are outlined. Applications to the determination of protein structure are discussed.\",\"PeriodicalId\":308716,\"journal\":{\"name\":\"Symbolic-Numeric Computation\",\"volume\":\"65 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Symbolic-Numeric Computation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1277500.1277519\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Symbolic-Numeric Computation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1277500.1277519","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A fast hermite transform with applications to protein structure determination
We discuss algorithms for a fast and stable approximation of the Hermite transform of a compactly supported function on the real line, attainable via an application of a fast algebraic algorithm for computing sums associated to a three-term relation. Trade-offs between approximation in bandwidth (in the Hermite sense) and size of the support region are addressed. Generalizations to any family of orthogonal polynomials are outlined. Applications to the determination of protein structure are discussed.