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An efficient linear method for ARMA spectral estimation

 

作者: RANDOLPHL. MOSES,   VIRGINIJA ŠIMONYTÉ,   PETRE STOICA,   TORSTEN SÖDERSTRÖM,  

 

期刊: International Journal of Control  (Taylor Available online 1994)
卷期: Volume 59, issue 2  

页码: 337-356

 

ISSN:0020-7179

 

年代: 1994

 

DOI:10.1080/00207179408923081

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

A three-step method for obtaining asymptotically maximum likelihood ARMA spectral estimates using only linear transformations of the data is presented. The computational efficiency of the algorithm is comparable to that of Yule-Walker algorithms, but the three-step method gives asymptotically statistically efficient estimates. The implementation of the algorithm is discussed in detail, and numerical examples are presented to illustrate its performance.

 

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