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Journal of Automation and Information Sciences
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN Druckformat: 1064-2315
ISSN Online: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v31.i12.40
pages 30-32

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

Andrey A. Romanov
Kharkov State Academy of Culture, Ukraine

ABSTRAKT

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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