Wavelet-Neural-networks

虚拟示波器，用VC＋＋语言编写，界面简洁，使用方便，供大家学习参考。(VC virtual oscilloscope)

用MATLAB编写的利用小波变换对多聚焦图像的融合。(The fusion of multi focus images with wavelet transform is written in MATLAB.)

此代码是用在被成为数学魔法师的MAPLE软件上运行的。此代码清晰的描述了欧拉公式的图象变换。以及如何在MAPLE里解欧拉公式。(This code is used in the magician to become the MAPLE mathematical software running. This code describes a clear image transform Euler formula. And how to MAPLE Euler formula in solution.)

双树复数小波变换程序，内附详细的使用说明，有小波变换函数可以选择(Dual-Tree Complex Wavelet Transform process, containing detailed instructions, you can choose a wavelet transform function)

基于四阶累积量的矩阵方程法子波估计,对研究子波的有一定的帮助(based on the forth cumulantion seismic wavelet estimation)

小波变换是一种非常重要的时频分析方法，研究小波变换对于地震处理研究有着非常重要的作用(Wavelet transform is a important tool for time-frequency,which plays an important part in the seismic processing.)

采用小波变换的方法实现心电信号的滤波，分别使用了硬阈值、软阈值和改进阈值方法，并实现了滤波效果的评价（均方差和信噪比）(Wavelet transform of ECG signal filtering method, respectively, using a hard threshold and soft threshold and improve the threshold method, and to achieve the filtering effect of the evaluation (both variance and signal to noise ratio))

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

给出了小波变换的具体java实现，小波变换的java程序，共包括waveletgen.java 和transformation.java(given wavelet transform to achieve specific java, java wavelet transform procedures, it includes waveletgen.java and transformation.java)

实现信号希尔伯特变换，以及小波变换，小波变换要求数据长度是2的N次幂(The signal Hilbert transform and wavelet transform, wavelet transform requires that the data length 2 is N th)