Harmonic analysis method based on Kaiser self-convolution window dual-spectrum line interpolation FFT (Fast Fourier Transform) and device thereof
A technology of bispectral line interpolation and harmonic analysis, applied in signal processing and fields, can solve the problems of insufficient calculation accuracy, low computational complexity, and large computational complexity, and achieves overcoming frequency fluctuations, suppressing spectrum leakage, and realizing frequency Effect
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[0027] The present invention will be further described below in conjunction with the accompanying drawings and embodiments, but this does not constitute any limitation to the present invention.
[0028] like figure 1 The flow diagram of Kaiser’s self-convolution window bispectral interpolation FFT harmonic analysis algorithm is shown, and the specific steps are as follows:
[0029] (1) Signal sampling: Sampling and discretizing the time-domain continuous signal to obtain an infinitely long discrete sequence, assuming that the signal x(t) containing harmonic components takes the sampling frequency f s Discrete-time signal obtained by uniform sampling, sampling frequency f s =8kHz;
[0030] (2) 4th-order Caesar self-convolution window function weighting processing: add 4-order Caesar self-convolution window operation to the infinitely long discrete sequence, that is, use a Caesar self-convolution window with a length of N to window and truncate the signal, and sample LengthN=...
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