jixujiaoyu1

EEG signal classification using wavelet feature extraction

shiyan图像分析及图像处理（时频变换）的小软件(Shiyan image analysis and image processing (time-frequency transform) a small software)

wavelet transform s code with details

小波去造程序，小波去噪程序，小波去噪程序，小波去噪程序(Wavelet to create procedures, wavelet denoising procedure, wavelet denoising procedure, wavelet denoising procedures)

一维向量的离散短时Fourier变换函数。函数名：stft，输入：要处理的一维数组，加窗：矩形窗，窗口宽度：20。(One-dimensional vector of discrete short-time Fourier transform function. Function name: stft, enter: To deal with the one-dimensional array, plus a window: rectangular windows, window width: 20.)

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

自己编写的αβγ滤波器工具函数，能够实现其滤波和平滑功能(Αβγ filter tool to write your own functions to achieve its filtering and smoothing function)

比较了选取统一阈值和自己选取阈值，可以看出选取同一阈值去噪效果更好(You can see the benefits of a uniform threshold.)

基于matlab程序对声音信号进行去噪处理，通过小波包处理及小波分析结合(Matlab program based on the sound signal denoising by wavelet packet processing and wavelet analysis combined)

说明：  基于小波变换的图像融合源代码，利用的融合规则分别使用简单的模值取大和基于区域能量。(Image fusion based on wavelet transform source code, the use of fusion rule modulus were obtained using a simple large and region-based energy.)