{"title":"具有离散测量的连续线性系统的非参数辨识","authors":"C. Chang, R. Holmes","doi":"10.1109/CDC.1984.272155","DOIUrl":null,"url":null,"abstract":"Formulas for the pseudoinverse of a compact operator are applied to linear system identification and scattering function estimation from a finite set of noisy measurements. The result is a nonparametric estimator possessing several desirable features. The approach encompasses the Modified Discrete Fourier Transform and is applied herein to the important problem of closely spaced object resolsution in radar/optical signal processing.","PeriodicalId":269680,"journal":{"name":"The 23rd IEEE Conference on Decision and Control","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1984-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Nonparametric identification of continuous linear systems with discrete measurements\",\"authors\":\"C. Chang, R. Holmes\",\"doi\":\"10.1109/CDC.1984.272155\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Formulas for the pseudoinverse of a compact operator are applied to linear system identification and scattering function estimation from a finite set of noisy measurements. The result is a nonparametric estimator possessing several desirable features. The approach encompasses the Modified Discrete Fourier Transform and is applied herein to the important problem of closely spaced object resolsution in radar/optical signal processing.\",\"PeriodicalId\":269680,\"journal\":{\"name\":\"The 23rd IEEE Conference on Decision and Control\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1984-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 23rd IEEE Conference on Decision and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CDC.1984.272155\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 23rd IEEE Conference on Decision and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.1984.272155","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Nonparametric identification of continuous linear systems with discrete measurements
Formulas for the pseudoinverse of a compact operator are applied to linear system identification and scattering function estimation from a finite set of noisy measurements. The result is a nonparametric estimator possessing several desirable features. The approach encompasses the Modified Discrete Fourier Transform and is applied herein to the important problem of closely spaced object resolsution in radar/optical signal processing.
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