{"title":"约束信号的谱外推","authors":"R. Mammone","doi":"10.1364/JOSA.73.001476","DOIUrl":null,"url":null,"abstract":"There are many applications where it is desirable to restore the high frequency components of a signal, for example, in radar and sonar, greater range accuracy can be obtained by spectral extrapolation, In imaging systems, the restoration of an image will provide increased resolution, The ability to restore the fine details of an image is of obvious value in such diverse fields as astronomy, electron microscopy, satelite survailance, medical image processing, remote sensing, and in image data compression applications.","PeriodicalId":279385,"journal":{"name":"Topical Meeting on Signal Recovery and Synthesis with Incomplete Information and Partial Constraints","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1983-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":"{\"title\":\"Spectral Extrapolation of Constrained Signals\",\"authors\":\"R. Mammone\",\"doi\":\"10.1364/JOSA.73.001476\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There are many applications where it is desirable to restore the high frequency components of a signal, for example, in radar and sonar, greater range accuracy can be obtained by spectral extrapolation, In imaging systems, the restoration of an image will provide increased resolution, The ability to restore the fine details of an image is of obvious value in such diverse fields as astronomy, electron microscopy, satelite survailance, medical image processing, remote sensing, and in image data compression applications.\",\"PeriodicalId\":279385,\"journal\":{\"name\":\"Topical Meeting on Signal Recovery and Synthesis with Incomplete Information and Partial Constraints\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1983-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"22\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Topical Meeting on Signal Recovery and Synthesis with Incomplete Information and Partial Constraints\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/JOSA.73.001476\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Topical Meeting on Signal Recovery and Synthesis with Incomplete Information and Partial Constraints","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/JOSA.73.001476","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
There are many applications where it is desirable to restore the high frequency components of a signal, for example, in radar and sonar, greater range accuracy can be obtained by spectral extrapolation, In imaging systems, the restoration of an image will provide increased resolution, The ability to restore the fine details of an image is of obvious value in such diverse fields as astronomy, electron microscopy, satelite survailance, medical image processing, remote sensing, and in image data compression applications.