Matlabwaveenergy

多点目标 单站SAR的回波信号仿真以及BP后向投影成像 参数见合成孔径雷达成像——算法与实现一书表6.1 运行结果正确，注释比较详细(Percent more single station SAR point target echo signal simulation and backward projection imaging BP parameters, see synthetic aperture radar imaging- algorithm and implementation of a book Table 6.1 run result is correct, more detailed notes)

用于图像的多尺度分析，shapelet变换用matlab 编程实现(shapelet code)

整数小波变换，可以直接运行，对图像小波分解(Integer wavelet transform)

5*5的中值旋滤波，以前在这下的旋滤波发现有点问题，改了一下(5* 5 median spin filtering, spin under the previous filter in this issue found that a little bit, changed a bit)

matlab程序，X-CT图像处理，用小波分解去除噪声(matlab program, X-CT image processing, noise removal by wavelet decomposition)

Block-based random image sampling is coupled with a projectiondriven compressed-sensing recovery that encourages sparsity in the domain of directional transforms simultaneously with a smooth reconstructed image. Both contourlets as well as complex-valued dual-tree wavelets are considered for their highly directional representation, while bivariate shrinkage is adapted to their multiscale decomposition structure to provide the requisite sparsity constraint. Smoothing is achieved via a Wiener filter incorporated into iterative projected Landweber compressed-sensing recovery, yielding fast reconstruction. The proposed approach yields images with quality that matches or exceeds that produced by a popular, yet computationally expensive, technique which minimizes total variation. Additionally, reconstruction quality is substantially superior to that from several prominent pursuits-based algorithms that do not include any smoothing

实现小波变换中mallat算法的完整matlab程序文件，可进行三级分解与重建(Implementation of wavelet transform algorithm Mallat)

本程序是基于小波变换的图像去噪，运行过可以使用(This procedure is based on Wavelet Transform for Image Denoising, run-off can be used)

说明：  可用于信号的EMD、EEMD、VMD分解，里面都加了自己的注释，通俗易懂(It can be used for signal EMD, EEMD, VMD decomposition. Because the algorithm adds its own annotations, it's easy to understand)

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 )