lena

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)

说明：  小波变换是一种新的变换分析方法，一个迅速发展的新领域(Wavelet transform is a new transform analysis method and a rapidly developing new field)

分别用Pisarenko谐波估计法、MUSIC算法和ESPRIT算法对三正弦叠加高斯白噪声信号源进行频率估计，附件中有代码说明，编译环境为matlab。(Respectively Pisarenko harmonic estimation, MUSIC algorithm and the ESPRIT algorithm superimposed on the three sine Gaussian white noise signal source for frequency estimation, in the annex to the code description, the compiler environment matlab.)

基于小波变换的包络分析用于轴承故障诊断的源代码(Bearing envelope analysis)

controllerbrushlessdcmotorbypic

本程序用Mallat算法实现小波变换,方法简答以实现(This program uses the mallat algorithe to implement wavelet transform)

实现小波变换中mallat算法的完整matlab程序文件，可进行三级分解与重建(Implementation of wavelet transform algorithm Mallat)

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

matlab提升小波变换与应用初步，包括小波变换的一些改进(the matlab enhance wavelet transform and application of the preliminary)

独立分量分析（ICA）算法编码，盲源信号分离（声音信号的分离）(Independent component analysis (ICA) algorithm coding, Blind Source Separation (voice signal separation))