The optimization of spectral analysis for signal harmonics

FFT has been applied to technologies of spectrum analysis widely. However, since the signal sampling is at random, and FFT suffers specific restricts, some defects happen inevitably, which make harmonic parameters cannot show on spectrum exactly. These defects result from frequency scales cannot match with signal characteristics. This paper affords the optimization of spectrum analysis for signal harmonics. By means of scale fine-tuning, the frequency scales will match the signal characteristics. The method eliminates both of the picket-fence effect and the leakage effect; it makes the harmonic parameters show on spectrum more accurately. This paper takes reasonable and practical evaluations to verify the theory.