Spectral analysis based on the linear dynamic model
Автор: Dranitsa Yu.P., Dranitsa A.Yu., Alekseevskaya O.V.
Журнал: Вестник Мурманского государственного технического университета @vestnik-mstu
Статья в выпуске: 2 т.12, 2009 года.
Бесплатный доступ
The task of parametric estimation of the spectral density with a high resolution on the basis of the linear dynamic model has been put and solved in the paper. The high resolution of the method has been obtained due to extrapolation of the process autocorrelation function throughout the number axis. The estimations of necessary dynamic parameters of the process (frequency and factors of fading) have been performed using the current measured data. The received spectral estimations are being expressed by simple analytical formulae and allow to interpret the results of spectral estimations at meaningful level. The methodics gives an opportunity to obtain individual spectral estimations automatically for any frequency, this is rather useful for more delicate research of the process structure.
Linear model, spectrum, high resolution, analytic representation of spectrum, autocorrelation function
Короткий адрес: https://sciup.org/14294041
IDR: 14294041