3-D-dwt

利用小波分析检测超高压输电线路故障和故障分类(fault identification and classifiction of EHV transmission lines based on wavelet transform)

基于小波变换的去雾处理程序，附有实验图片，可以运行的，希望对大家有帮助！(Based on wavelet transform to fog handler, attached to the experimental images, you can run, I hope it can help you!)

说明：  压缩包中为小波变换的程序，可在MATLAB 中使用，可进行时频分析(The compression package is a wavelet transform program, which can be used in MATLAB and can be used for time-frequency analysis)

使用小波能量差提取信号，PCA降维，SVM对电能质量扰动分类。(Extract the signal using the wavelet energy difference between the PCA dimensionality reduction, SVM classification of power quality disturbances.)

在matlab环境下，实现ECG信号R波的检测，使用的方法是小波变换。(Matlab environment, the realization of the R wave of the ECG signal detection, the methods used wavelet transform.)

用于图像的多尺度分析，shapelet变换用matlab 编程实现(shapelet code)

二维双密度双树（复数）小波变换包。包含基于小波变换的基本的阈值处理运算。(2-D Double-Density Complex Wavelet Transform。There are two versions of the 2-D double-density dual-tree DWT: (1) The 2-D double-density dual-tree real-oriented DWT, which is 2-times expansive, and (2) The 2-D double-density dual-tree complex-oriented DWT, which is 4-times expansive.)

简单的方向滤波器， 带测试图的， 可以直接运行(Simple directional filter, with a test chart, you can directly run)

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)

基于小波变换的ECG信号去噪系统设计,在信号采集时，身体的任一微小运动都会产生“基线漂移”，这是一种低频干扰，同时，由于肌电的存在又产生了高频的肌电噪声，由于空间电磁场的存在又使心电信号中混有50Hz的工频干扰。这些噪声不去除，就会影响下一步的信号处理。 综合运用数字信号处理的理论知识进行生物医学信号增强系统设计，实现ECG信号的去噪，从而加深对小波变换及其应用的理解，建立概念多分辨分析的概念，加深理解信号增强的原理、方法和步骤。本设计的主要内容是设计一个基于小波变换的ECG信号去噪系统，实现ECG信号的去噪。 (ECG signal denoising based on wavelet transform system design, signal acquisition, any small movement of the body will have a " baseline drift" , which is a low-frequency interference, while the high frequency due to the existence of the EMG muscle electrical noise due to the presence of electromagnetic field and the ECG signal mixed with a 50Hz power frequency interference. The noise is not removed, it will affect the next step in the signal processing. Use the theoretical knowledge of digital signal processing for biomedical signal enhancement system design to achieve the de-noising of ECG signal, so as to deepen understanding of the wavelet transform and its applications, to establish the concept of multi-resolution analysis of the concept, deepen the understanding of signal enhancement of the principle, the method and steps. The main elements of this design is the design of an ECG signal denoising based on wavelet transform denoising the ECG signals.)