中文说明：小波分析是针对傅里叶变换的不足发展而来的，傅里叶变换是信号处理领域中应用最为广泛的一种分析数段，然而它也有一个严重的不足，就是变换抛开了时间信息，变换结果无法判断某个信号发生的时间，即傅里叶变换在时域中没有分辨能力。小波是一种长度有限、平均值为0的波形，它的特点包括：a 时域都具有紧支集或近似紧支集；本文通过对经典算法进行改进，得到很好的效果。
English Description：
Wavelet analysis is developed for the deficiency of Fourier transform. Fourier transform is one of the most widely used analysis segments in the field of signal processing. However, it also has a serious deficiency, that is, the time information is discarded in the transform, and the transform result can not judge the time of a signal, that is, the Fourier transform has no resolution in the time domain. Wavelet is a kind of waveform with finite length and average value of 0. Its characteristics include: a time domain has compact support or nearly compact support; in this paper, we improve the classical algorithm and get good results.