Wavelet_FORTRAN

心电信号的读入，滤波，以及小波变换并重构。(ECG reads, filtering, and wavelet transform and reconstruction.)

基于MATLAB的虚拟实验系统 的源代码 信号与系统 典型课程的演示实验的编程 GUI(the virtual experiment system for signal processing on the matlab)

用Fortran编写的小波变换用小程序，可实现简单的小波分析功能(Written in Fortran with a small application of wavelet transform, wavelet analysis can be simple functions)

这是基于小波变换的图像融合程序，附带融合图像(This is based on the wavelet transform image fusion procedures, fringe Image Fusion)

Fast wavelet transforms and numerical algorithms 1

说明：  提出了一种基于复解析小波变换的相位诊断齿轮故障的方法。复解析小波变换将Hilbert变换与小波分析紧密结合在一起,具有自适应分析能力。利用复解析小波变换得到齿轮振动信号的相位,其功率谱图上可提取调制边频带结构来识别故障模式。试验结果表明这种方法可有效应用于齿轮局部故障诊断中。(A new method using the phase based on complex analytical wavelet transform for fault diagnosis of gears was proposed. The phase of vibration signals of gears is got by complex analytical wavelet transform, which combines Hilbert transform with wavelet transform tightly and possesses adaptive analysis ability. By making spectrum analysis of the phase, the sideband structure in power spectrum can be protruded, and the fault pattern can be identified. Experimental results show that the proposed method is effective in local defect detection of gears.)

小电流接地系统故障选线matlab程序 希望对大家的学习有帮助(Small current grounding fault line matlab program hope that everyone' s learning)

余弦变换-DCT。好用的小波变换方法程序。(Cosine transform-DCT. Use of wavelet transform.)

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

此程序用DWT(离散小波变换)实现二维小波变换(discrete wavelet transform )