decomposition

说明：  本代码利用小波变换，实现了两幅图像的融合，使用了小波分析工具箱wavemenu，使用了小波分析函数wavedec2()进行小波变换(The code using wavelet transform, to achieve a fusion of two images, using wavelet analysis toolbox wavemenu, using wavelet analysis function wavedec2 () wavelet transform)

2002年，MN Do和Martin Vetterli提出了一种“真正”的图像二维表示方法：Contourlet变换，也称塔型方向滤波器组(Pyramidal Directional Filter Bank, PDFB)。Contourlet变换是利用拉普拉斯塔形分解(LP)和方向滤波器组(DFB)实现的另一种多分辨的、局域的、方向的图像表示方法。(In 2002, MN Do and Martin Vetterli proposed a "real" two-dimensional representation of images: Contourlet transform, also known as Pyramidal Directional Filter Bank (PDFB). Contourlet transform is another multi-resolution, local and directional image representation method based on Laplacian pyramid decomposition (LP) and directional filter banks (DFB).)

小波方法进行降噪，阈值函数来完成不同设计，核心程序如下面的所示，使用的小波基有coif5，db3，sym4，bior2.4，haar，rbio(Wavelet method for noise reduction, design to complete different threshold function, the core program as shown below, using the wavelet base coif5, db3, sym4, bior2.4, haar, rbio )

形态成分析（MCA）用于图像分割与去噪的实验代码(Form into analysis (MCA) for image segmentation and denoising experimental code)

说明：  通过高斯函数导数检测图像边缘，实质是方向可调小波变换检测图像边缘（8个方向变换）。(Gaussian function through derivative edge detection in real terms is adjustable direction edge detection wavelet transform (change the direction of 8).)

小波神经网络,实现曲线拟和，数据分类，故障诊断，学习速度快于传统BP。(Wavelet neural network, and realize curve fitting, data classification, fault diagnosis, learning faster than the traditional BP.)

基于小波变换的数字盲水印及对嵌入水印后图像的攻击检测(Attack detection based on wavelet transform digital blind watermark and the watermarked image)

labview小波工具箱以及关于小波变换去噪的源程序。(labview wavelet toolbox and on the wavelet transform denoising of the source.)

利用小波变换实现对电能质量检测的算法实现(using wavelet transform to detect power quality algorithm)

小波变换去噪，软阈值和硬阈值，以及自己的设计的阈值函数来去噪，毕业设计全套。很全面的资料，绝对最全面的资料，我保证(Wavelet denoising, soft thresholding and hard thresholding, as well as design their own threshold denoising function, the design of a full set of graduation. Comprehensive information is absolutely the most comprehensive information, I promise)