Abstract
Most of the actual signals are analyzed and processed with zero spectral line values. This paper describes the causes of this phenomenon and the solutions. Through the analysis of a group of specific experimental data, the N-point FFT transform is carried out. By observing the original data and the frequency-shifted spectrum, the original can be intuitively understood. The signal has strong DC component and trend term (trend term is also divided into linear trend term and polynomial trend term). Because of this, the frequency spectrum obtained by FFT is mostly zero. In this paper, the DC component of the signal is calculated and the trend term is eliminated by using the digital signal processing function of MATLAB, and the whole spectrum is obtained. Finally, the specific area is selected according to the actual requirements. The spectrum analysis was carried out to obtain the qualified spectrum.
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