{"title":"利用零点进行盲反卷积和相位恢复","authors":"Pi-tung Chen, M. Fiddy, A. Greenaway, D. Pommet","doi":"10.1364/srs.1995.rwd3","DOIUrl":null,"url":null,"abstract":"The Fourier transform of a signal or image of compact support is an entire function of exponential type which can be represented in terms of their zeros by means of a product of factors each encoding a zero of the function. In more than one dimensional problems, an entire function is generally not factorizable into an infinite product of terms, but is irreducible, [1,2] from which it follows that there is a unique phase to be associated with its power spectrum, in principle.","PeriodicalId":184407,"journal":{"name":"Signal Recovery and Synthesis","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Blind deconvolution and phase retrieval using point zeros\",\"authors\":\"Pi-tung Chen, M. Fiddy, A. Greenaway, D. Pommet\",\"doi\":\"10.1364/srs.1995.rwd3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Fourier transform of a signal or image of compact support is an entire function of exponential type which can be represented in terms of their zeros by means of a product of factors each encoding a zero of the function. In more than one dimensional problems, an entire function is generally not factorizable into an infinite product of terms, but is irreducible, [1,2] from which it follows that there is a unique phase to be associated with its power spectrum, in principle.\",\"PeriodicalId\":184407,\"journal\":{\"name\":\"Signal Recovery and Synthesis\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Signal Recovery and Synthesis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/srs.1995.rwd3\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Signal Recovery and Synthesis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/srs.1995.rwd3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Blind deconvolution and phase retrieval using point zeros
The Fourier transform of a signal or image of compact support is an entire function of exponential type which can be represented in terms of their zeros by means of a product of factors each encoding a zero of the function. In more than one dimensional problems, an entire function is generally not factorizable into an infinite product of terms, but is irreducible, [1,2] from which it follows that there is a unique phase to be associated with its power spectrum, in principle.