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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)

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.)

多种方法（软硬阈值、自适应阈值等）进行小波去噪的matlab程序(A variety of methods (hard and soft threshold, adaptive threshold, etc.) of the matlab wavelet denoising procedures)

MATLAB实现的高斯平滑滤波源代码，用了高斯函数的定义来做，附实例，效果很好(gauss filter by matlab)

曲波变换，matlab下的曲波变换，里面也含有图像去噪的简单算法，包括硬阈值去噪等等，在matlab2012a下运行完全没有问题，请放心使用。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。

用小波变换去除荧光背景，扣除基线。matlab(Remove fluorescence background, net baseline using wavelet transform. matlab)

wavelet transform to analyze fault for fault location determining

说明：  主要针对道路提取程序，使用二值法和形态法(Road extraction procedures, using binary and morphological methods)

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.)

自己编写的基于指数遗忘快速算法改进的morlet小波变换程序(I have written forgotten fast algorithm based on the index improved wavelet transform morlet procedure)