小波变换中卷积的源代码，经过注释和整理，可以直接被调用，很方便...

该源代码又称双树复小波变换源代码，它不仅具有Gabor变换的六个方向选择性，而且有更小的冗余度，对图像处理的同行们肯定有很大的价值，可直接下载使用。-The source code also known as the Dual-Tree Complex Wavelet Transform source code, it not only has the Gabor transform of the six direction selectivity, but also has a smaller redundancy of image processing colleagues certainly have great value, can directly download使用.

采用多种小波基的离散小波变换源码-Wavelet basis using a variety of discrete wavelet transform source

数字信号处理，很多种变换，可以直接在matlab中运行，很好用-Digital signal processing, it is a variety of transformations, can be run directly in matlab, very good use

基于小波变换的匹配追踪算法,估计极其精确,推荐-Wavelet-Based Matching Pursuit Algorithm

提升小波变换程序， %LWT Lifting wavelet decomposition 1-D. % LWT performs a 1-D lifting wavelet decomposition % with respect to a particular lifted wavelet that you specify.-lifting wavelet transform procedures% Local Walsh Transform Lifting wavelet decomposition 1-D. % Local Walsh Transform performs a 1-D lifting wavelet decomposition% with respect to a particular lifted wavelet that you specify.

水波纹效果，很神奇的。大家-Water ripple effect, it is amazing.

FWT_Stat用信号的平稳位移计算二进小波正变换 MM2_DWT图像的二进小波变换的模极大-FWT_Stat using signal to the smooth displacement dyadic wavelet transform is the two images MM2_DWT Progressive wavelet transform modulus maxima

小波神经网络,输出节点数为:J个；输入节点数为：I个-wavelet neural network, the output nodes : J; Input nodes : I-

卷积&相关的VC程序，依托fft实现快速卷积和相关

本程序实现二维灰度图像的小波变换和逆变换。 直接运行本目录下的批处理程序run即可。 用户需自己输入以下参数： 1. 图像文件名(lena.bmp，若使用其它图像请先放入本目录下) 2. 选用的小波名称(本程序中可使用haar及db2-db5) 3. 小波变换的级数。 运行结束后小波变换与逆变换结果分别保存在dec.bmp与rec.bmp中。-This procedure realize two-dimensional gray-scale image wavelet transform and inverse transform. Catalog under the direct operation of a batch process can run. Users need their own, enter the following parameters: 1. Image file name (lena.bmp, if the use of other images, please Add Catalog under) 2. Wavelet chosen name (This procedure can be used haar and db2-db5) 3. Wavelet Transform series. Run after the wavelet transform and inverse transform results are stored in dec.bmp in with rec.bmp.