{"title":"非零均值乘性噪声下二维三次非线性耦合估计","authors":"Huijing Dou, Shuxun Wang, Fei Wang","doi":"10.1109/ICNNSP.2003.1281176","DOIUrl":null,"url":null,"abstract":"This paper describes an algorithm based on cyclic statistic to estimate the two-dimensional (2-D) frequency of harmonic process which cubic nonlinear coupling exists. We defined a fourth-order time-average moment spectrum. It can be applied to obtain the coupled and coupling frequencies in nonzero-mean multiplicative noise. This method needn't constrain the distribution and the color of noises. Simulation examples illustrate the algorithms.","PeriodicalId":336216,"journal":{"name":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Two-dimensional cubic nonlinear coupling estimation in nonzero-mean multiplicative noise\",\"authors\":\"Huijing Dou, Shuxun Wang, Fei Wang\",\"doi\":\"10.1109/ICNNSP.2003.1281176\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes an algorithm based on cyclic statistic to estimate the two-dimensional (2-D) frequency of harmonic process which cubic nonlinear coupling exists. We defined a fourth-order time-average moment spectrum. It can be applied to obtain the coupled and coupling frequencies in nonzero-mean multiplicative noise. This method needn't constrain the distribution and the color of noises. Simulation examples illustrate the algorithms.\",\"PeriodicalId\":336216,\"journal\":{\"name\":\"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003\",\"volume\":\"46 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\":\"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNNSP.2003.1281176\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNNSP.2003.1281176","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Two-dimensional cubic nonlinear coupling estimation in nonzero-mean multiplicative noise
This paper describes an algorithm based on cyclic statistic to estimate the two-dimensional (2-D) frequency of harmonic process which cubic nonlinear coupling exists. We defined a fourth-order time-average moment spectrum. It can be applied to obtain the coupled and coupling frequencies in nonzero-mean multiplicative noise. This method needn't constrain the distribution and the color of noises. Simulation examples illustrate the algorithms.