{"title":"基于紧凑参数化小波的多尺度无线通信","authors":"G. Mandyam","doi":"10.1109/ACSSC.2005.1599729","DOIUrl":null,"url":null,"abstract":"Wireless communications has traditionally involved single-scale modulation, usually involving either time or frequency conditioning of the transmitted signal. In this paper multiscale modulation, wherein time-frequency conditioning of the transmitted signal is used, is considered with respect to typical wireless communications systems. Multipath channels require equalization, which can be complex in the time-frequency domain. In this work, a different approach in which the modulating wavelet is matched to a specific channel condition is proposed. Specifically, compactly supported wavelet bases are employed, and based on their parameterization a wavelet is selected that best characterizes the wireless channel conditions","PeriodicalId":326489,"journal":{"name":"Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005.","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multiscale Wireless Communications Using Compactly-Parametrized Wavelets\",\"authors\":\"G. Mandyam\",\"doi\":\"10.1109/ACSSC.2005.1599729\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wireless communications has traditionally involved single-scale modulation, usually involving either time or frequency conditioning of the transmitted signal. In this paper multiscale modulation, wherein time-frequency conditioning of the transmitted signal is used, is considered with respect to typical wireless communications systems. Multipath channels require equalization, which can be complex in the time-frequency domain. In this work, a different approach in which the modulating wavelet is matched to a specific channel condition is proposed. Specifically, compactly supported wavelet bases are employed, and based on their parameterization a wavelet is selected that best characterizes the wireless channel conditions\",\"PeriodicalId\":326489,\"journal\":{\"name\":\"Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005.\",\"volume\":\"56 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\":\"Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACSSC.2005.1599729\",\"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 Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACSSC.2005.1599729","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multiscale Wireless Communications Using Compactly-Parametrized Wavelets
Wireless communications has traditionally involved single-scale modulation, usually involving either time or frequency conditioning of the transmitted signal. In this paper multiscale modulation, wherein time-frequency conditioning of the transmitted signal is used, is considered with respect to typical wireless communications systems. Multipath channels require equalization, which can be complex in the time-frequency domain. In this work, a different approach in which the modulating wavelet is matched to a specific channel condition is proposed. Specifically, compactly supported wavelet bases are employed, and based on their parameterization a wavelet is selected that best characterizes the wireless channel conditions