The Optimization of Spectrum Analysis for Signal Harmonics

FFT has been widely applied to the technology of spectrum analysis. However, since the signal sampling is random and FFT has specific limitations, some infections have inevitably been created. The picket-fence effect and the leakage effect are common phenomena. This paper explores the optimization of spectrum analysis for signal harmonics. By means of scale fine-tuning, the frequency scales will match the signal characteristics. This method eliminates both the picket-fence effect and the leakage effect; it shows the frequencies and amplitudes of harmonics on spectrum more accurately. This paper uses practical and reasonable evaluations to verify the theorems.