{"title":"一个多变量Steiglitz-McBride方法","authors":"M. Ashari, M. Mboup, P. Regalia","doi":"10.5281/ZENODO.36063","DOIUrl":null,"url":null,"abstract":"In this paper, we present an off-line multi-input/multi-output version of the Steiglitz-McBride method, as well as an analytic description of the set of its stationary points. As in the scalar case [13], the description is given in terms of first- and second-order interpolation constraints, respectively, on the model impulse response and covariance sequences. The constraints are related to the theory of g-Markov covariance equivalent realizations and generalize the work of Inouye [7] and King et al. [9].","PeriodicalId":282153,"journal":{"name":"1996 8th European Signal Processing Conference (EUSIPCO 1996)","volume":"245 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A multivariable Steiglitz-McBride method\",\"authors\":\"M. Ashari, M. Mboup, P. Regalia\",\"doi\":\"10.5281/ZENODO.36063\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present an off-line multi-input/multi-output version of the Steiglitz-McBride method, as well as an analytic description of the set of its stationary points. As in the scalar case [13], the description is given in terms of first- and second-order interpolation constraints, respectively, on the model impulse response and covariance sequences. The constraints are related to the theory of g-Markov covariance equivalent realizations and generalize the work of Inouye [7] and King et al. [9].\",\"PeriodicalId\":282153,\"journal\":{\"name\":\"1996 8th European Signal Processing Conference (EUSIPCO 1996)\",\"volume\":\"245 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1996 8th European Signal Processing Conference (EUSIPCO 1996)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5281/ZENODO.36063\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1996 8th European Signal Processing Conference (EUSIPCO 1996)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5281/ZENODO.36063","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, we present an off-line multi-input/multi-output version of the Steiglitz-McBride method, as well as an analytic description of the set of its stationary points. As in the scalar case [13], the description is given in terms of first- and second-order interpolation constraints, respectively, on the model impulse response and covariance sequences. The constraints are related to the theory of g-Markov covariance equivalent realizations and generalize the work of Inouye [7] and King et al. [9].
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