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一篇很好的小波变换英文入门资料，附有注释，对想了解小波变换的初学者十分有益。(A good wavelet transform introductory information in English, annotated, very useful for beginners want to learn wavelet transform.)

基于小波变换的包络分析用于轴承故障诊断的源代码(Bearing envelope analysis)

基于小波变换的通信信号码元速率估计.pdf(Estimated rate based on the communication signal element wavelet transform. Pdf)

说明：  采用5/3小波提升算法编写的一维和二维信号小波分解与重构程序。给出了图象分解的演示示例。(using 5/3 wavelet algorithm to enhance the one-and two-dimensional wavelet decomposition and reconstruction process. Given the decomposition of images demonstration examples.)

说明：  是关于小波去噪在地震信号中的引用，检测地震信号(Is the seismic signal on the wavelet denoising the reference in the detection of seismic signal)

matlab编的瑞利面波的正演模拟，用于浅层地震勘探研究(Matlab compiled Rayleigh wave in the forward modeling of, used in the shallow seismic exploration and research )

此程序用DWT(离散小波变换)实现二维小波变换(discrete wavelet transform )

EEG采集脑电波，然后用小波变换分析睁眼时产生脑电波的频率及各项数据(EEG brain waves collected and then analyzed using wavelet transform eyes when the frequency of brain waves generated and the data)

本代码是小波包学习和使用的初学代码，简单改造可对信号进行滤波，去噪，实现我们需要的各种功能(xiaobobao )

实现盲源信号的分离，在一个信号源中提取出有用的信号。(Blind source signal separation, in a signal source to extract useful signals.)