小波包分析

用stft、小波变换、EMD分别对突变信号进行时频分析(With stft, wavelet transform, EMD mutations were signals of time-frequency analysis)

同步压缩小波变换（synchrosqueezing wavelet transform）工具箱，用于信号处理时频分析(synchrosqueezing wavelet transform toolbox for time-frequency analysis in signal processing )

小波分解在图像处理和电能质量分析中应用广泛，本文应用小波分解的方法将高频的暂态信号提取出来，获取暂态信号的特征量，就能够有效地计算暂态信号。(Wavelet decomposition in image processing and power quality analysis is widely used, this application of wavelet decomposition method to extract high-frequency transient signals, to obtain the amount of transient characteristics of the signal, we can effectively calculate the transient signal.)

连续小波变换的MATLAB实现（未调用cwt函数）(Continuous wavelet transform of MATLAB (not using function cwt))

说明：  本程序是卡尔曼滤波的源程序包，请大家分享.(Kalman filtering of the source packet, please share.)

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.)

通过设计Visual C程序源码对简单易懂的一维信号在加上了高斯白噪声之后进行Daubechies小波、Morlet小波与Haar小波变换，从而的到小波分解系数；再通过改变分解的到的各层高频系数数进行信号的小波重构达到消噪噪的目的。在这一程序源码实现的过程中能直观地理解信号小波分解重构的过程与在信号消噪中的重要作用，和在对各层高频系数进行权重处理时系数的选取对信号消噪效果的影响。 可直接 (Design Visual C program source code on a simple one-dimensional signal with a Gaussian white noise Daubechies wavelet, Morlet wavelet and Haar wavelet transform, and thus to the wavelet coefficients and then change the decomposition to each storey wavelet reconstruction frequency coefficient of the number of signal to noise canceling noise. In the process of realization of this program source code can be intuitively understood the signal wavelet decomposition and reconstruction process and an important role in signal denoising, and the selection coefficient in the high frequency coefficients of the layers of the weight of processing noise cancellation signal impact. Can be directly)

小波变换在图像处理中应用于图像分析，图像压缩，图像去噪等。本文就小波变换理论和matlab语言的小波分析工具箱做了简单阐述。(Wavelet transform in image processing applied to image analysis, image compression, image denoising, etc.. In this paper, wavelet transform theory and wavelet analysis matlab language to do the simple toolbox on.)

此示意程序用DWT实现二维小波变换 1.调原始图像矩阵 2.进行二维小波分解 3.分解结果显示 重构源图像及结果显示 (This indicated the procedure using two-dimensional wavelet transform DWT realize one. Transferred the original image matrix 2. To carry out two-dimensional wavelet decomposition 3. Decomposition results show that reconstruction of the source images and results show)

一种基于EMD分解后对imf分量利用小波分解进行去噪的方法，给出了相应的例子，有注释(Based on the EMD decomposition after the imf component by using the method of wavelet decomposition denoising, corresponding examples are given, with comments)