本文提出谱自相关方法。设置一固定宽度的时间窗,在某一信号上沿时间轴滑动,窗内观察到的信号段被变换到频率域,并在频率域求相关。利用谱自相关分别分析了窗式空调和船只的航行噪声,它们的谱自相关周期分别和空调所用的制冷压缩机的振动周期、船只螺旋桨轴的转动周期相一致。 This paper proposes a spectral autocorrelation method. Set a fixed-width time window that slides along a time axis on a signal. The observed signal segments in the window are transformed into the frequency domain and correlated in the frequency domain. Based on the spectrum autocorrelation, the navigation noise of the window air-conditioners and the ships were respectively analyzed. Their spectral autocorrelation periods were respectively consistent with the vibration periods of the refrigeration compressors and the rotation periods of the propeller shafts.