{"title":"一种新的基于累积量的非最小相位系统辨识与反卷积反滤波算法","authors":"Chong-Yung Chi, J. Kung","doi":"10.1109/SSAP.1992.246828","DOIUrl":null,"url":null,"abstract":"This paper proposes a new filtering algorithm for linear time-invariant systems with only non-Gaussian output measurements contaminated by Gaussian noise. Some simulation results demonstrate that the algorithm works well.<<ETX>>","PeriodicalId":309407,"journal":{"name":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","volume":"181 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"A new cumulant based inverse filtering algorithm for identification and deconvolution of nonminimum-phase systems\",\"authors\":\"Chong-Yung Chi, J. Kung\",\"doi\":\"10.1109/SSAP.1992.246828\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a new filtering algorithm for linear time-invariant systems with only non-Gaussian output measurements contaminated by Gaussian noise. Some simulation results demonstrate that the algorithm works well.<<ETX>>\",\"PeriodicalId\":309407,\"journal\":{\"name\":\"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing\",\"volume\":\"181 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSAP.1992.246828\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSAP.1992.246828","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new cumulant based inverse filtering algorithm for identification and deconvolution of nonminimum-phase systems
This paper proposes a new filtering algorithm for linear time-invariant systems with only non-Gaussian output measurements contaminated by Gaussian noise. Some simulation results demonstrate that the algorithm works well.<>
![[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing](/Content/css/sci/img/zetp.jpg)
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