{"title":"平稳随机序列的功率谱拟合","authors":"Changqing Zhang, Zhanwen Liu, Zhi-gang Xu","doi":"10.1504/ijitm.2020.10027414","DOIUrl":null,"url":null,"abstract":"Based on the spectral representation of zero-mean stationary process, another method of fitting the target power spectrum is obtained. The fitted random sequence is uniformly convergent with respect to the target sequence. Compared to the commonly used wave superposition method in simulating wind velocity fluctuations, its merits and deficiencies are shown.","PeriodicalId":340536,"journal":{"name":"Int. J. Inf. Technol. Manag.","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fitting the power spectrum of stationary random sequence\",\"authors\":\"Changqing Zhang, Zhanwen Liu, Zhi-gang Xu\",\"doi\":\"10.1504/ijitm.2020.10027414\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the spectral representation of zero-mean stationary process, another method of fitting the target power spectrum is obtained. The fitted random sequence is uniformly convergent with respect to the target sequence. Compared to the commonly used wave superposition method in simulating wind velocity fluctuations, its merits and deficiencies are shown.\",\"PeriodicalId\":340536,\"journal\":{\"name\":\"Int. J. Inf. Technol. Manag.\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. Inf. Technol. Manag.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/ijitm.2020.10027414\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Inf. Technol. Manag.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijitm.2020.10027414","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fitting the power spectrum of stationary random sequence
Based on the spectral representation of zero-mean stationary process, another method of fitting the target power spectrum is obtained. The fitted random sequence is uniformly convergent with respect to the target sequence. Compared to the commonly used wave superposition method in simulating wind velocity fluctuations, its merits and deficiencies are shown.