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In descriptive analysis, frequency tables have been used thoroughly.
In the descriptive analysis, frequency and proportion were used.
In data analysis frequency and percentage are used.
In conventional Fourier analysis, frequency domain data are multiplied by window functions.
This extendible architecture allows integration of future synchrophasor-based applications such as contingency analysis, frequency response, protection and control.
The recognition method is introduced in Section 3. Instantaneous autocorrelation spectrum analysis, frequency spectrum analysis, and source number estimation algorithm (SNEA) are involved in this section.
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In the nonlinear steady-state analysis, frequency-amplitude plots, power spectral density plots, bifurcation point continuation diagrams, and Poincaré maps are presented.
Table 6 Results between time domain method and frequency domain method Method Oscillation frequency (Hz) Damping ratio Prony-anlysis (time-domain) 1.0500 14.82 Eigenvalue analysis (frequency-domain) 1.0737 18.29 Relative error 2.20 18.97.
The method used on data obtained from the questionnaire was descriptive analysis (frequencies and percentages).
Power spectral analysis (frequency-domain method) of HR variability and systolic blood pressure (SBP) variability was automatically provided by the TFM, using an adaptive autoregressive model [ 31].
Descriptive analysis, frequencies and percentages were calculated using SPSS vr.
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