Biblio
Filters: Keyword is frequency characteristics [Clear All Filters]
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2021. Fast-variable Processes Analysis Using Classical and Approximation Spectral Analysis Methods. 2021 International Conference on Quality Management, Transport and Information Security, Information Technologies (IT&QM&IS). :274—278.
A comparative analysis of the classical and approximation methods of spectral analysis of fast-variable processes in technical systems is carried out. It is shown that the approximation methods make it possible to substantially remove the contradiction between the requirements for spectrum smoothing and its frequency resolution. On practical examples of vibroacoustic signals, the effectiveness of approximation methods is shown. The Prony method was used to process the time series. The interactive frequency segmentation method and the direct identification method were used for approximation and frequency characteristics.
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2017. Polyharmonic test signals application for identification of nonlinear dynamical systems based on volterra model. 2017 International Conference on Information and Telecommunication Technologies and Radio Electronics (UkrMiCo). :1–5.
The new criterion for selecting the frequencies of the test polyharmonic signals is developed. It allows uniquely filtering the values of multidimensional transfer functions - Fourier-images of Volterra kernel from the partial component of the response of a nonlinear system. It is shown that this criterion significantly weakens the known limitations on the choice of frequencies and, as a result, reduces the number of interpolations during the restoration of the transfer function, and, the more significant, the higher the order of estimated transfer function.