{"title":"精确的ARMA信号识别-经验结果","authors":"L. D. Paarmann, M. Korenberg","doi":"10.1109/MWSCAS.1991.252138","DOIUrl":null,"url":null,"abstract":"A recent ARMA (autoregressive moving average) algorithm for the identification of stochastic systems and signal models is discussed, and empirical results are given. The ARMA identifier discussed includes inherent order estimation. In comparison with other ARMA stochastic system identifiers, the new procedure has been empirically shown to yield highly accurate, unbiased results.<<ETX>>","PeriodicalId":6453,"journal":{"name":"[1991] Proceedings of the 34th Midwest Symposium on Circuits and Systems","volume":"40 1","pages":"110-113 vol.1"},"PeriodicalIF":0.0000,"publicationDate":"1991-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Accurate ARMA signal identification-empirical results\",\"authors\":\"L. D. Paarmann, M. Korenberg\",\"doi\":\"10.1109/MWSCAS.1991.252138\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A recent ARMA (autoregressive moving average) algorithm for the identification of stochastic systems and signal models is discussed, and empirical results are given. The ARMA identifier discussed includes inherent order estimation. In comparison with other ARMA stochastic system identifiers, the new procedure has been empirically shown to yield highly accurate, unbiased results.<<ETX>>\",\"PeriodicalId\":6453,\"journal\":{\"name\":\"[1991] Proceedings of the 34th Midwest Symposium on Circuits and Systems\",\"volume\":\"40 1\",\"pages\":\"110-113 vol.1\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-05-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1991] Proceedings of the 34th Midwest Symposium on Circuits and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MWSCAS.1991.252138\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1991] Proceedings of the 34th Midwest Symposium on Circuits and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MWSCAS.1991.252138","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Accurate ARMA signal identification-empirical results
A recent ARMA (autoregressive moving average) algorithm for the identification of stochastic systems and signal models is discussed, and empirical results are given. The ARMA identifier discussed includes inherent order estimation. In comparison with other ARMA stochastic system identifiers, the new procedure has been empirically shown to yield highly accurate, unbiased results.<>