{"title":"Single Side-band Modulation Algorithm Of Aarametric Array Based On Iterative Hilbert Transform","authors":"D. Sun, Hongliang Zhao","doi":"10.1109/CISCE50729.2020.00093","DOIUrl":null,"url":null,"abstract":"The single-sideband modulation’s parametric loudspeakers cause linear distortion when modulating the frequency conversion signal, the frequency of the frequency conversion signal is estimated by the Hilbert transform and the distortion of the frequency conversion signal is compensated according to the frequency. Furthermore, iterative Hilbert transform is used to improve the accuracy of frequency estimation for signals which do not satisfy Bedrosian theorem and Nuttall theorem, and the adaptability of the algorithm is improved. The simulation and experiment show that the improved algorithm reduces the distortion of the frequency conversion signal and has strong adaptability.","PeriodicalId":101777,"journal":{"name":"2020 International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Communications, Information System and Computer Engineering (CISCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISCE50729.2020.00093","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The single-sideband modulation’s parametric loudspeakers cause linear distortion when modulating the frequency conversion signal, the frequency of the frequency conversion signal is estimated by the Hilbert transform and the distortion of the frequency conversion signal is compensated according to the frequency. Furthermore, iterative Hilbert transform is used to improve the accuracy of frequency estimation for signals which do not satisfy Bedrosian theorem and Nuttall theorem, and the adaptability of the algorithm is improved. The simulation and experiment show that the improved algorithm reduces the distortion of the frequency conversion signal and has strong adaptability.
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