{"title":"分数阶傅里叶变换的支持有限广义不确定性关系","authors":"Xiaotong Wang, Guanlei Xu","doi":"10.4236/JSIP.2015.63021","DOIUrl":null,"url":null,"abstract":"This paper investigates the generalized \nuncertainty principles of fractional Fourier transform (FRFT) for concentrated \ndata in limited supports. The continuous and discrete generalized uncertainty \nrelations, whose bounds are related to FRFT parameters and signal lengths, were \nderived in theory. These uncertainty principles disclose that the data in FRFT \ndomains may have much higher concentration than that in traditional \ntime-frequency domains, which will enrich the ensemble of generalized \nuncertainty principles.","PeriodicalId":38474,"journal":{"name":"Journal of Information Hiding and Multimedia Signal Processing","volume":"31 1","pages":"227-237"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Support-Limited Generalized Uncertainty Relations on Fractional Fourier Transform\",\"authors\":\"Xiaotong Wang, Guanlei Xu\",\"doi\":\"10.4236/JSIP.2015.63021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper investigates the generalized \\nuncertainty principles of fractional Fourier transform (FRFT) for concentrated \\ndata in limited supports. The continuous and discrete generalized uncertainty \\nrelations, whose bounds are related to FRFT parameters and signal lengths, were \\nderived in theory. These uncertainty principles disclose that the data in FRFT \\ndomains may have much higher concentration than that in traditional \\ntime-frequency domains, which will enrich the ensemble of generalized \\nuncertainty principles.\",\"PeriodicalId\":38474,\"journal\":{\"name\":\"Journal of Information Hiding and Multimedia Signal Processing\",\"volume\":\"31 1\",\"pages\":\"227-237\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-07-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Information Hiding and Multimedia Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4236/JSIP.2015.63021\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Information Hiding and Multimedia Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4236/JSIP.2015.63021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Computer Science","Score":null,"Total":0}
Support-Limited Generalized Uncertainty Relations on Fractional Fourier Transform
This paper investigates the generalized
uncertainty principles of fractional Fourier transform (FRFT) for concentrated
data in limited supports. The continuous and discrete generalized uncertainty
relations, whose bounds are related to FRFT parameters and signal lengths, were
derived in theory. These uncertainty principles disclose that the data in FRFT
domains may have much higher concentration than that in traditional
time-frequency domains, which will enrich the ensemble of generalized
uncertainty principles.