一维二进小波变化与Mallat交体投影算法源码

这是图像处理的一个小程序，用vb编程实现，对图像进行翻转变换，拉普拉斯变换和小波变换。-image processing is a small program, vb programming, turn right image transformation, Laplace Transform and wavelet transform.

图像多尺度分析，小波变换的进一步发展slantlet变换代码，用matlab编写有使用说明-slantlet code

图象处理中的一些经典代码 周长发书上的原代码 小波变换-Image processing code in a number of classic books weeks long code of the original wavelet transform

小波神经网络在脑电信号数据压缩与棘波识别中的应用-wavelet neural networks in EEG data compression with spikes Identification of

dwt小波变换用于图像处理与压缩-dwt wavelet transform for image processing and compression

Daubechies 小波-Daubechies wavelet

3次非标准小波分解和重构， 使用两种小波：Haar小波和db9小波 设计3级小波分解和重构图像的程序 用你自己的照片作对象，显示其中任一种小波图像分解和重构过程 使用Haar小波时，计算阈值分别为0，5，10和20的情况下，用PNG格式存储重构的图像，并将计算结果填入“图像测试表” 使用db9小波时，计算阈值分别为0，5，10和20的情况下，用PNG格式存储重构的图像，并将计算结果填入“图像测试表” -3rd standard wavelet decomposition and reconstruction, the use of two wavelet : Haar wavelet and wavelet design Terminal 3 wavelet decomposition and reconstruction process images using your own pictures for targets, which shows the image of a wavelet decomposition and reconstruction process using wavelet Haar, the threshold values were calculated for 0, 5,10 and 20 of the cases, the storage format used PNG Image Reconstruction and results Enter "Image table test" Wavelet use Terminal, the threshold values were calculated for 0,5,10 and 20 of the cases, the storage format used PNG Image Reconstruction and calculation results Enter "Image test Table"

常用的小波变换、傅立叶变换、离散余弦变换、图像旋转、平移、缩放类模块，用户只需运行时只需调用相应的模块，这是我从我们开发的系统中剥离出来的类模块，供大家使用，希望大家能喜欢！-commonly used wavelet transform, Fourier transform, discrete cosine transform, image rotation, translation, scaling type module, users can run only when the corresponding module called, this is my from our development of the system spin-off from the class module for everyone to use, I hope you will like!

一维信号离散小波分解与重构的VC程序，很经典的一个-One-dimensional discrete wavelet signal decomposition and reconstruction of the VC process, it is the classic one

基于图像抽取和小波变换的压缩方法，很值得参考-Extraction and image-based wavelet compression method, it is worth considering