{"title":"多维系统识别","authors":"Ping-Ya Zhao, Zhenya He","doi":"10.1109/MELCON.1989.50014","DOIUrl":null,"url":null,"abstract":"Various existing multidimensional system identification theories and techniques are reviewed. Particular attention is given to various modeling and parameter estimation techniques. State space, conditional Markovian simultaneous autoregressive, and finite-order autoregressive moving average methods and their various variants are discussed. Maximum-likelihood, least-squares, and other commonly used techniques are also studied.<<ETX>>","PeriodicalId":380214,"journal":{"name":"Proceedings. Electrotechnical Conference Integrating Research, Industry and Education in Energy and Communication Engineering',","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"On multidimensional system identification\",\"authors\":\"Ping-Ya Zhao, Zhenya He\",\"doi\":\"10.1109/MELCON.1989.50014\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Various existing multidimensional system identification theories and techniques are reviewed. Particular attention is given to various modeling and parameter estimation techniques. State space, conditional Markovian simultaneous autoregressive, and finite-order autoregressive moving average methods and their various variants are discussed. Maximum-likelihood, least-squares, and other commonly used techniques are also studied.<<ETX>>\",\"PeriodicalId\":380214,\"journal\":{\"name\":\"Proceedings. Electrotechnical Conference Integrating Research, Industry and Education in Energy and Communication Engineering',\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. Electrotechnical Conference Integrating Research, Industry and Education in Energy and Communication Engineering',\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MELCON.1989.50014\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. Electrotechnical Conference Integrating Research, Industry and Education in Energy and Communication Engineering',","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MELCON.1989.50014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Various existing multidimensional system identification theories and techniques are reviewed. Particular attention is given to various modeling and parameter estimation techniques. State space, conditional Markovian simultaneous autoregressive, and finite-order autoregressive moving average methods and their various variants are discussed. Maximum-likelihood, least-squares, and other commonly used techniques are also studied.<>
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
