此程序用提升法实现第二代小波变换,采用时域实现,步骤先列后行...

利用小波变换对信号进行分析处理,现代信号处理,胡广书编-using wavelet analysis of signal processing, modern signal processing, Mr Kwong Textbook

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"

由于小波变换具有良好的时频分析特性，已经广泛应用于各种信号分析领域。由于小波变换算法的复杂性，如果直接计算小波变换，所需内存较大，耗时较长。尽管当今处理器芯片运算速度得到了大幅度的提高，但仍然在实时性上不能满足要求。为了简化计算过程，人们相继设计了一系列的快速算法来计算小波变换，以降低其运算次数。-Since the wavelet transform has good time-frequency analysis features, has been widely used in various fields of signal analysis. Wavelet transform algorithm as a result of the complexity, if the direct calculation of wavelet transform, the larger memory requirements, a longer time-consuming. Despite the computational speed of today

一个利用小波变幻实现滤波的算法-a wavelet filter changes the algorithm to achieve

给出了在matlab环境下的源代码，经过了上机调试，可以实现小波变换对图像的二次压缩！-given Matlab environment in the source code, after the Machine, can achieve a wavelet transform of the second image compression!

小波变换图象压缩的硬件实现原代码,可以对图象进行多及压缩-Wavelet Transform Image Compression Hardware Implementation of the original code, and multi-image compression

基于小波变换图像压缩的量化技术研究，很值得参考-Image compression based on wavelet transform quantitative technology research, it is worth considering

用一维小波变换进行图像去噪处理，有较低的计算复杂度，提高效率和计算速度。-Victoria with a wavelet transform image denoising, lower computational complexity, increase efficiency and speed.

图像融合处理，实现两幅图像小波变换后的图像融合操作-Image fusion processing, and two images after the wavelet transform image fusion operation

本程序用于实现一层小波变换，即在频域对图像进行处理-the procedures used to achieve a layer of wavelet transform, in the frequency domain for image processing