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• W2899182072 abstract "The article suggests a method for structural and parametric identification of multisinusoidal signal models, which allows estimating the number of harmonics in a signal, as well as all of its unknown parameters. The method is implemented on the basis of quantized signal values measured with certain discretization step, without additional prior information about the signal properties. The basic mathematical apparatus used in this work is the theory of continued fractions. The transition to a continued fraction is carried out by constructing an identifier matrix, the null string number of which serves as a basis for estimating the number of harmonics in multisinusoidal signal. The signal parameters are estimated by approximating the model of the signal identifier by a continued fraction. The capabilities of the method are extended to structural and parametric identification of multisinusoidal signals with and without bias, and also for signals of variable shape that can change their character over time. The latter can be used in the construction of monitoring systems and systems of control over the state of dynamic objects in real time in order to promptly detect the undesirable risk situations. The efficiency and reliability of the method are highly accurately confirmed with computer simulation results." @default.
• W2899182072 created "2018-11-09" @default.
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• W2899182072 date "2018-09-01" @default.
• W2899182072 modified "2023-09-23" @default.
• W2899182072 title "Structural and Parametric Identification of a Multisinusoidal Signal Model by Using Continued Fractions" @default.
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• W2899182072 doi "https://doi.org/10.1109/rusautocon.2018.8501834" @default.
• W2899182072 hasPublicationYear "2018" @default.
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