【摘要】 研究稳定信号的理想工具为Fpurier变换。但对于非平稳信号，需要一种具有良好时频特性的函数基来进行分解，Fourier变换所用的三角函数基不能满足此要求。而近些年提出的小波函数很好地解决了非平稳信号的分解问题。在本文中通过对具有奇异信号的非平稳信号进行谐波小波分析，最后根据分解结果可很好地确定信号中出现奇异的时域和频域位置．更多还原

【Abstract】 Fourier transformation is an ideal analghtial tool to process stable. For the analysis of non-stable signals, base functions with well behaved time frequency charecteristics is required In comparison with the harmonic base functions of FFT, the wavelet function bases are suitable for non-stable signal analysis . In this paper, the harmonic wavelet is used to study local singular non-stable signal. The time-frequency position of singular non-stable signal is determined by means of the decomposition results.更多还原