基于小波分析的噪声滤波程序。小波去噪源程序。

小波十讲，是一本世界范围公认的经典学术名著,是当代数学著作中一本影响巨大的绝妙好书-Wavelet

对一帧YUV比为4:2:0的图象用高通和低通滤波器进行离散小波变换和反变化并输出图象

不错的界面 不错的界面 不错的界面 不错的界面 -混合

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"

用于小波变换的图像信号二维频谱分析-for wavelet transform two-dimensional image signal spectrum analysis

vc写的实现小波处理，滤波，复原，融合等源程序-vc wrote realize wavelet processing, filtering, restoration, integration, such as source

小波变换具有良好的时―频局部性，是分析奇异信号的重要方法定点DSP在工程中的厘用士分背通，具实现小波变换可以满足工程是实时性的要求文中简要介绍了小波变换理论及算法，并结合TI公司的16位定点说明算法的实现。 -Wavelet transform has a good time- frequency localization, is to analyze the singular signal an important means of fixed-point DSP in engineering per cent pass with disabilities at the back with the realization of wavelet transform to meet the project is a real-time requirements of the article a brief introduction of wavelet transform theory and algorithm, combined with TI

图像压缩中的小波变化-Image Compression Wavelet changes

VC图像处理的一些基本算法及小波变换源码-VC image processing algorithms and some basic wavelet transform FOSS

Ridge_WindowFT窗口傅立叶变换的脊 CohenDist Cohen类时频分布-Ridge_WindowFT window Fourier Transform ridge CohenDist Cohe n type time-frequency distribution