WPandEMD

说明：  利用此代码绘制声信号的功率谱，显示功率谱线。普通音频文件均可实现(Drawing power spectrum)

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.)

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)

基于小波变换的图片重建 有完整代码 工程 以及说明 涉及到图片的切割(image reconstruction based on wavelet translate )

说明：  Fault Location in Extra Long HVdc Transmission Lines using Continuous Wavelet Transform

关于小波变换的一些常用函数，有关多尺度变换，希望可以帮助您(Wavelet commonly used functions, on multi-scale transformation, I hope to help you)

Block-based random image sampling is coupled with a projectiondriven compressed-sensing recovery that encourages sparsity in the domain of directional transforms simultaneously with a smooth reconstructed image. Both contourlets as well as complex-valued dual-tree wavelets are considered for their highly directional representation, while bivariate shrinkage is adapted to their multiscale decomposition structure to provide the requisite sparsity constraint. Smoothing is achieved via a Wiener filter incorporated into iterative projected Landweber compressed-sensing recovery, yielding fast reconstruction. The proposed approach yields images with quality that matches or exceeds that produced by a popular, yet computationally expensive, technique which minimizes total variation. Additionally, reconstruction quality is substantially superior to that from several prominent pursuits-based algorithms that do not include any smoothing

关于小波变换及其应用的一本经典教材，值得学习(A classic textbook on wavelet transform and its application is worth learning)

对图像进行脊波变换，包含实例，与小波变换的对比实例(Ridgelet image transformation, including examples of the contrast with the example of wavelet transform)

多种方法（软硬阈值、自适应阈值等）进行小波去噪的matlab程序(A variety of methods (hard and soft threshold, adaptive threshold, etc.) of the matlab wavelet denoising procedures)