▍1. morlet
MORLET小波分析在MATLAB的环境下 适合初学者(MORLET waveLET ANYSIS)
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▍2. bande-limination-filter
使用带通滤波器对图像进行处理，滤除不必要的杂波(Using band-pass filter to do image processing, filtering unnecessary clutter)
▍3. bwclearborder
single level ,two level, multi level dwt for the denoising
▍4. AAA_Wavelet-Tutorial
一篇很好的小波变换英文入门资料，附有注释，对想了解小波变换的初学者十分有益。(A good wavelet transform introductory information in English, annotated, very useful for beginners want to learn wavelet transform.)
▍5. scope
vc实现虚拟示波器，没有测试过不知道能用吧(vc virtual oscilloscope not tested do not know can)
▍6. DirFilter-test_pic
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)
▍7. frwt_8876
一种新型分数阶小波变换及其应用,讨论了新型分数阶小波变换的应用(A new Fractional Wavelet Transform and Its Applications, discussed the application of the new fractional wavelet transform)
▍9. ImgReconstruction
基于小波变换的图片重建 有完整代码 工程 以及说明 涉及到图片的切割(image reconstruction based on wavelet translate )
▍10. RECGGdenoisiie
去除在心电信号采集过程中混入的肌电干扰、工频干扰、基线漂移等噪声信信号，避免噪声对心电信号特征点的识别与提取造成误判漏判 已通过测试。 (Remove the EMG interference mixed with the signal acquisition process in mind, frequency interference, baseline drift and noise channel signal to avoid noise caused by the misjudgment of the Missing has been tested on ECG feature identification and extraction.)
▍11. Jul2012_2DWaveletT
图像处理中，有关二维离散小波变换的PPT例程，富有参考价值。(Image processing related to the two-dimensional discrete wavelet transform PPT routines, full of reference value.)
▍12. Imattlabcoodem
图象增强小波变换将一幅图象分解为大小、位置与方向都不同的分量。在做逆变换之前能改变小波变换域中某些系数的大小，，这样就能够洋选择的放大所感兴趣的分量而减小不需要的分量。给定一个图象信号，用二维小波分析析对图象进行增强处理。 (Image enhancement wavelet transform decomposition size, location and direction of the different components of an image. Wavelet transform domain, some the size of the coefficient can change before doing the inverse transformation, so can the component of interest to the amplification of the ocean choose to reduce the unwanted weight. Given an image signal, the analysis of two-dimensional wavelet analysis of image enhancement processing.)
▍13. tWavveletVCReh
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)
▍15. Mallat123
小波变换的Mallat算法在LabVIEW中的实现(The wavelet transform of Mallat algorithm implemented in LabVIEW)
▍16. T23825744rwth
这是小波包程序，好不容易从网上下下的，希望对大家有用！可直接使用。 (Wavelet packet, and finally from the Internet under the hope that useful! Can be used directly.)
▍17. pq_pcasvm
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.)
▍19. gaga
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.)
▍20. exa130202
求冲激函数、阶跃函数及三角函数的小波变换、模极大线并求它们的李氏指数(Demand impulse function, step function and the trigonometric functions of the wavelet transform modulus maxima line and ask them Lipschitz)
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