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Journal of Automation and Information Sciences

年間 12 号発行

ISSN 印刷: 1064-2315

ISSN オンライン: 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

巻 31, 発行 12, 1999, pp. 30-32
DOI: 10.1615/JAutomatInfScien.v31.i12.40
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要約

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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