漫画傅里叶解析-涉谷道雄

说明：  用Java实现97提升小波变换，动态演示和可视化(Realizes 97 promotion wavelet transformation with Java, dynamic demonstration and visualization )

该文讲解了分数阶微积分和小波变换之间的关系，很不错的论文(The article explained the fractional calculus and the relationship between the wavelet transform, a very good paper)

Wavelet Neural networks

基于matlab的小波包分解应用于机械振动信号的故障分析(Used in failure analysis of mechanical vibration signals based on the Matlab wavelet packet decomposition)

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.)

S变换是小波变换的一种扩展，有非常大的价值(S transform is an extension of wavelet transform, has a very large value)

用MATLAB编程实现实现滤波，与数字信号处理相关(Implementing filtering)

基于DB4 的小波变换，实现了小波的分解与重构，可根据实际需要修改阈值的选取方法(Based DB4 wavelet transform to achieve wavelet decomposition and reconstruction, according to the actual need to modify the threshold selection method)

在 MATLAB 中的窗函数,十分简单： 矩形窗 三角窗 汉宁窗 海明窗 布拉克曼窗 恺撒窗 (In MATLAB, the window function is very simple: a rectangular window of triangular windows Hanning Hamming Blackman Window Caesar Window)

编写MATLAB程序，产生协方差函数为C(τ)=9??^(?10|??| )的零均值平稳高斯过程，产生一条样本函数.测量所产生样本的时间自相关函数，将结果与理论值比较。(Procedures for the preparation of MATLAB produced C covariance function (tau) =9^ (- 10||) zero mean stationary Gauss process to produce a sample function. Measuring the resulting sample time autocorrelation function, the results will be compared with the theoretical value.)