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Journal of Automation and Information Sciences

Publicou 12 edições por ano

ISSN Imprimir: 1064-2315

ISSN On-line: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

Indexed in

Investigation of the Effectiveness for Methods of Linear Identification in a Spectral Domain

Volume 31, Edição 12, 1999, pp. 30-32
DOI: 10.1615/JAutomatInfScien.v31.i12.40
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RESUMO

Results of studying of errors with respect to frequency for three linear methods are presented, namely for two autoregressive methods and autoregression method with the moving average. All methods are recursive relative to the order of the model dimension. It was found that least square autoregression method and autoregression method with the moving average essentially exceeds the modification of the Berg autoregressive algorithm by their accuracy characteristics.

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