{"title":"论统计时空调制理论","authors":"Y. V. Lo","doi":"10.1109/PACRIM.1989.48432","DOIUrl":null,"url":null,"abstract":"To characterize the space-time system, a number of theorems related to optimal space-time information processing, transmission, and storage are introduced. These theorems summarize various properties of the space-time system including space-time sampling, signal classification, and channel capacity optimization. The results generalize the communication theory of Gabor (1946), Shannon (1948), and Nyquist (1928). Test verifications and applications of the space-time modulation theory are discussed.<<ETX>>","PeriodicalId":256287,"journal":{"name":"Conference Proceeding IEEE Pacific Rim Conference on Communications, Computers and Signal Processing","volume":"81 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"On a statistical space-time modulation theory\",\"authors\":\"Y. V. Lo\",\"doi\":\"10.1109/PACRIM.1989.48432\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To characterize the space-time system, a number of theorems related to optimal space-time information processing, transmission, and storage are introduced. These theorems summarize various properties of the space-time system including space-time sampling, signal classification, and channel capacity optimization. The results generalize the communication theory of Gabor (1946), Shannon (1948), and Nyquist (1928). Test verifications and applications of the space-time modulation theory are discussed.<<ETX>>\",\"PeriodicalId\":256287,\"journal\":{\"name\":\"Conference Proceeding IEEE Pacific Rim Conference on Communications, Computers and Signal Processing\",\"volume\":\"81 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference Proceeding IEEE Pacific Rim Conference on Communications, Computers and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PACRIM.1989.48432\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Proceeding IEEE Pacific Rim Conference on Communications, Computers and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PACRIM.1989.48432","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
To characterize the space-time system, a number of theorems related to optimal space-time information processing, transmission, and storage are introduced. These theorems summarize various properties of the space-time system including space-time sampling, signal classification, and channel capacity optimization. The results generalize the communication theory of Gabor (1946), Shannon (1948), and Nyquist (1928). Test verifications and applications of the space-time modulation theory are discussed.<>
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