Extracted-from-the-ECG-signal-

这个程序是基于小波变换的信号奇异性检测及去噪 的一些例程(using wavelet method and SVD to process the signal and denoise)

基于第二代小波的非抽样小波变换应用程序，可以用来小波转换(Non-sampling based on second generation wavelets, wavelet transform application)

对仿真信号进行复morlet小波变换后，绘制的时频图。(After the simulated signal multiplexing morlet wavelet transform, time-frequency diagram drawn.)

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.)

离散小波变换程序 实现了4层离散小波变换 可运行的程序代码(The discrete wavelet transform procedure achieved a 4-layer discrete wavelet transform operable program code)

基于小波变换的图像编码，已经使用，效果很好。(Image coding based on wavelet transform has been used with good results.)

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

用MATLAB编程实现实现滤波，与数字信号处理相关(Implementing filtering)

通过学习小波变换原理，自行编写小波函数，不用matla自带小波函数(Wavelet transform principle, by learning to write wavelet function, need not matla with wavelet function)

分别用Pisarenko谐波估计法、MUSIC算法和ESPRIT算法对三正弦叠加高斯白噪声信号源进行频率估计，附件中有代码说明，编译环境为matlab。(Respectively Pisarenko harmonic estimation, MUSIC algorithm and the ESPRIT algorithm superimposed on the three sine Gaussian white noise signal source for frequency estimation, in the annex to the code description, the compiler environment matlab.)