rwt

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))

小波包变换分析信号的MATLAB程序，可用于提取故障特征向量(Wavelet packet transform analysis of signals in MATLAB procedures, can be used to extract fault feature vector)

小波包分析提取振动信号中的特征频率，以及能量谱分析计算(wavelet packet analysis vibration signal from the characteristic frequency, and the energy spectrum analysis)

基于墨西哥草帽小波函数进行连续小波变换的matlab变换程序，望对大家有所帮助。(Mexican hat wavelet function based on continuous wavelet transform matlab transformation process, hope to be helpful.)

说明：  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)

使用matlab实现的BPSK信号产生和加入噪声前后的频谱对比以及FFT测频和一阶差分法测频对比(Using matlab to achieve the BPSK signal generator and adding noise before and after the spectrum contrast and FFT frequency measurement and first-order differential method to measure the frequency contrast)

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

小波变换图像增强程序。以及非线性的处理程序。+MATLAB编译环境(Wavelet transform image enhancement program.And non-linear handlers.+MATLAB compilation environment)

用于进行小波变换，对原始的光谱图像数据进行预处理(Used wavelet transform, the original spectral image data preprocessing)

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)