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基于小波变换的图像拼接。 本程序利用小波变换的原理实现图像的上下，左右以及斜方向的无缝拼接(Wavelet-based image stitching. The procedure to achieve the principle of wavelet transform image from top to bottom, left and right oblique direction and seamless)

利用连续小波变换，交叉小波变换研究ENSO对长江流域径流的影响。(Using the continuous wavelet transform, ENSO cross wavelet transform research on the influence of the Yangtze river basin runoff.)

morlet小波变换的周期性分析程序，分析长时间序列的周期性(morlet periodic wavelet analysis program, analysis of long time series of the periodic)

小波分解与重构，该程序可以实现小波变换的分解与重构。(Wavelet decomposition and reconstruction, the program can achieve wavelet transform decomposition and reconstruction.)

说明：  可用于信号的EMD、EEMD、VMD分解，里面都加了自己的注释，通俗易懂(It can be used for signal EMD, EEMD, VMD decomposition. Because the algorithm adds its own annotations, it's easy to understand)

一个基于小波变换的数据聚类样例 Matlab实现(A sample Matlab based on wavelet transform data clustering)

在理解了离散小波变换的基本原理和算法的基础上，通过设计VC程序对简单的一维信 号在加上了高斯白噪声之后进行Daubechies小波、Morlet小波和Haar小波变换，从而得到小波分解系数；再通过改变分解得到的各层高频系数进行信号的小波重构达到消噪的目的。在这一程序实现的过程中能直观地理解信号小波分解重构的过程和在信号消噪中的重要作用，以及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。(In understanding the basis of discrete wavelet transform basic principles and algorithms, through the design VC program Daubechies wavelet, Morlet wavelet and Haar wavelet transform after a simple one-dimensional signal plus a Gaussian white noise, resulting wavelet coefficients wavelet reconstruction signal again by changing the layers to achieve high-frequency coefficients decomposed noise cancellation purposes. Can intuitively understand wavelet decomposition and reconstruction process and an important role in signal de-noising in the process of implementation of this program, and in the high-frequency coefficients when the weight of the layers selected for signal processing coefficients denoising affected.)

这是一个多维小波变换工具箱,列举了很多的实例.(This is a multi-dimensional wavelet transform toolbox, cited many examples.)

短期负荷预测（一种基于小波变换支持向量机的负荷预测程序）(Short-term load forecasting (a kind of wavelet transform based on support vector machine load forecasting procedure))

文基于小波分析的特点，提出了一种对信号进行多重小波 变换的自适应去噪法，该方法不仅克服了小波去噪软硬阈值法的局限性，而且解决了自适应滤波中参考信号选取难的 问题，将该方法用于脉搏信号降噪，得到了满意的去噪效果。(The text features based on wavelet analysis, proposed an adaptive multi-wavelet transform for signal denoising method, this method not only overcomes the limitations of hard and soft thresholding method of wavelet de-noising, and resolve the reference signal adaptive filtering Select the difficult problem of the method is used to the noise of the pulse signal, and been satisfied with the denoising effect.)