Method for extracting harmonic components in dynamic sinusoidal distortion signal
A technology of harmonic components and extraction methods, applied in the field of dynamic signal testing and analysis, to achieve the effects of improving harmonic resolution and anti-noise capabilities, suppressing spectral leakage, and improving accuracy and stability
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[0032] The solution proposed by the present invention is: use a new convolution window to weight the discretized sinusoidal distortion signal, perform discrete Fourier transform on the weighted signal to obtain a discrete spectrum, and correct the spectrum through an adaptive energy center of gravity algorithm according to the harmonic order Coefficients, to suppress the spectrum leakage, so as to accurately extract the frequency and amplitude of the harmonic components in the sinusoidal distortion signal, specifically including the following steps:
[0033] Step a. Determine the data length N and sampling frequency f for Fourier transform s ;
[0034] Step b. Take the weight coefficient of the cosine item as 0.44, 0.51, 0.05, construct a second-order cosine combination window, and perform time-domain self-convolution on the obtained second-order cosine combination window to obtain a new type of second-order cosine combination self-convolution window w( n);
[0035] Step c. ...
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