{"title":"ARMA建模的递归阶梯算法","authors":"D. L. Lee, B. Friedlander, M. Morf","doi":"10.1109/CDC.1980.271998","DOIUrl":null,"url":null,"abstract":"The extension of the all-pole (AR) exact least-squares ladder algorithms to the pole-zero (ARMA) case is presented. The algorithms are based on a general set of recursions obtained by a geometric approach. The recursions obtained are square-root normalized and have much simpler structures than the unnormalized case. The white input as well as the possibly non-white unknown input case are discussed.","PeriodicalId":332964,"journal":{"name":"1980 19th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1980-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"87","resultStr":"{\"title\":\"Recursive ladder algorithms for ARMA modeling\",\"authors\":\"D. L. Lee, B. Friedlander, M. Morf\",\"doi\":\"10.1109/CDC.1980.271998\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The extension of the all-pole (AR) exact least-squares ladder algorithms to the pole-zero (ARMA) case is presented. The algorithms are based on a general set of recursions obtained by a geometric approach. The recursions obtained are square-root normalized and have much simpler structures than the unnormalized case. The white input as well as the possibly non-white unknown input case are discussed.\",\"PeriodicalId\":332964,\"journal\":{\"name\":\"1980 19th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1980-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"87\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1980 19th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CDC.1980.271998\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1980 19th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.1980.271998","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The extension of the all-pole (AR) exact least-squares ladder algorithms to the pole-zero (ARMA) case is presented. The algorithms are based on a general set of recursions obtained by a geometric approach. The recursions obtained are square-root normalized and have much simpler structures than the unnormalized case. The white input as well as the possibly non-white unknown input case are discussed.