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本程序用Mallat算法实现小波变换,方法简答以实现(This program uses the mallat algorithe to implement wavelet transform)

对基于小波变换的电能质量扰动检测和识别方法进行研究，在总结前人经验的基础上提出自己对算法的改进，并且利用MATLAB软件对改进算法进行仿真分析,取得令人满意的效果,验证所用方法的可行性。 (Power quality disturbances detection and identification method based on wavelet transform and make their own improvements on the algorithm on the basis of previous experience, and improved algorithm for the simulation analysis using MATLAB software, obtain satisfactory results, verify thethe feasibility of the method.)

小波变换的模极大值重建信号源程序 非常具有参考价值(wavelet transform modulus maxima reconstruction signal source is a very valuable reference)

说明：  MATLAB的软件包，用于小波变换，安装到自己的MATLAB工具箱中。(MATLAB software package for wavelet transform.)

　　　作为一种新型的有效的版权保护手段，数字水印技术倍受人们的关注。数字水印主要是通过在原始资料中嵌入秘密信息——水印,来证实资料的所有权。本文介绍了数字水印技术的基本原理及其分类，然后对数字水印讨论了一种基于LSB的数字图像水印算法,最后利用MATLAB7.6对这一算法进行了实现。(As a new effective means of copyright protection, digital watermarking technology much attention. The digital watermark secret information- the watermark embedded in the raw data, to prove ownership of the data. This article describes the basic principles of their classification of digital watermarking technology and digital watermarking digital image watermarking algorithm based LSB, and finally the use of this algorithm matlab7.6 achieve.)

小波方法进行降噪，阈值函数来完成不同设计，核心程序如下面的所示，使用的小波基有coif5，db3，sym4，bior2.4，haar，rbio(Wavelet method for noise reduction, design to complete different threshold function, the core program as shown below, using the wavelet base coif5, db3, sym4, bior2.4, haar, rbio )

基于小波变换的图像压缩感知 并且进行OMP重建 对压缩感知的性能与采样点数进行性能分析与比较(Image compression based on wavelet transform perception and the OMP reconstruction performance of compressed sensing and sample analysis and comparison of performance points)

主要讲述小波变换在信号分析和图像处理中的应用，英文版。(Wavelets applications in signal and image processing)

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.)

离散小波变换，再用OMP算法重构出原始信号(DWT transmission，OMP )