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
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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