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比较了选取统一阈值和自己选取阈值，可以看出选取同一阈值去噪效果更好(You can see the benefits of a uniform threshold.)

说明：  用于求取小波包变换后小波系数的熵值，对初学者很有帮助(Used to obtain the wavelet coefficients after wavelet packet entropy, helpful for beginners)

小波变换对电能质量暂态信号的分析和运用，包含电压骤升、骤降等(Wavelet transform for power quality analysis and the use of transient signals, including voltage dips, swells, etc.)

用小波变换去除荧光背景，扣除基线。matlab(Remove fluorescence background, net baseline using wavelet transform. matlab)

小波包和EMD方法对信号分析后的频谱图比较，可以对EMD的运行参数进行修改。(Spectrum comparison of Wavelet package and EMD)

分别用小波、分形的方法对图像进行去噪，并对这两种方法的结果进行了比较。(Wavelet, respectively, the method of fractal image denoising, and the results of these two methods are compared.)

小波分析程序，包括墨西哥小波morlet小波(Wavelet analysis program)

说明：  有小波分解求小波熵，还有小波包技术求解信号特征，适应与分析脑电信号特征(Seeking a wavelet decomposition wavelet entropy, and wavelet packets technique to solve the signal characteristics, and analysis of EEG characteristics of adaptation)

基于墨西哥草帽小波函数进行连续小波变换的matlab变换程序，望对大家有所帮助。(Mexican hat wavelet function based on continuous wavelet transform matlab transformation process, hope to be helpful.)

移动窗口二维相关光谱方法matlab的实现，完全是自己参照公式编的哦。。移动窗口二维相关光谱是一种新的二维相关分析方法,它将移动窗口的概念和二维相关分析方法有效地结合在了一起,利用移动窗口将庞大的光谱数据按矩阵分割成若干个便于操作的子矩阵,用二维相关光谱分别处理,将得到的结果综合分析,用以光谱变量和扰动变量为坐标的等高图表现出来,从中可以非常直观地观察出光谱强度在扰动变量方向上的变化,进而找出引起光谱强度突变的特征扰动点。(Moving window two-dimensional correlation spectroscopy method matlab realization, is entirely their own formulas reference the Oh. . Moving window two-dimensional correlation spectroscopy is a new two-dimensional correlation analysis method, it will move the window concept and two-dimensional correlation analysis method is effective to combine together, using the moving window at the huge spectral data matrix is ​ ​ divided into a number of easy to operate a sub-matrix, respectively, using two-dimensional correlation spectroscopy process, comprehensive analysis of the results obtained for the spectral variables, and disturbance variables manifested contour map coordinates, which can visually observe the spectral intensity of the direction of the disturbance variable The change, then find mutations characteristic spectral intensity caused disturbance point.)