sound_sep1

小波变换，小波去噪，包含多种去噪方法，模极大值，自适应，阈值去噪(Wavelet transform, wavelet denoising, including multiple Denoising, modulus maxima, adaptive thresholding)

基于小波域的图像压缩分组编码及其差错隐藏.(Image compression based on wavelet packet coding and error to hide.)

该程序可以实现对信号的小波分解、重构及各频带能量比分析(The program can achieve signal wavelet decomposition and reconstruction and the band energy than)

基于小波变换的图像量化编解码，使用零树编码方法(based on wavelet transform quantitative image codecs, the use of zero-tree coding method)

基本的S变换matlab实现 用于时频分析 为初学者提供基本代码(S transformation for time-frequency analysis to provide basic code for beginners)

对图像做二维离散小波变换，分解级数为3级，并重构图像，不直接调用Matlab的dwt和idwt函数。(pair of 2-dimensional images DWT, decomposition of the three series, and Image Reconstruction, not directly call Matlab dwt and idwt function.)

利用小波变换进行改进阈值信号去噪 (Improvement threshold signal denoising using wavelet transform)

说明：  快速傅里叶变换，fft，ourrafft master(Fast Fourier Transform Algorithm)

小波基contourlet变换 其中包含spiht编码 去噪 纹理识别(Wavelet transform contourlet transform includes SPIHT coding and denoising texture recognition.)

一个基于小波变换的数据聚类样例 Matlab实现(A sample Matlab based on wavelet transform data clustering)