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Wavelet Neural networks

　　　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.)

Rice大学的ricewavelet小波变换工具包，用于matlab环境下，内含图像处理所需的几乎所有小波变换功能，很好很强大(failed to translate)

小波包分析提取振动信号中的特征频率，以及能量谱分析计算-(wavelet packet analysis vibration signal from the characteristic frequency, and the energy spectrum analysis )

小电流接地系统故障选线matlab程序 希望对大家的学习有帮助(Small current grounding fault line matlab program hope that everyone' s learning)

一维小波变换的MATLAB实现方法，包括一维连续小波变换和离散小波变换。(MATLAB in a one-dimensional wavelet transform methods, including the one-dimensional continuous wavelet transform and discrete wavelet transform.)

对雾天图像利用小波变换分解，实现图像去雾增强，分解的层数越多，处理后的效果越明显。(On the fog image using wavelet transform decomposition, to achieve the image to fog enhancement, decomposition of the number of layers, the more obvious the effect of the treatment.)

实现文章 李根.基于小波变换修正的双线性图像插值图像放大方法，信息技术，2010.9 一文的仿真。包括自编的双线性插值和最近邻插值方法。(Lee, realize the article based on wavelet transform image modified bilinear interpolation method of image magnification, information technology, article 2010.9 of the simulation. Including self bilinear interpolation and nearest neighbor interpolation method.)

这篇关于从心电信号提取呼吸信号的调查，一共介绍了三种方法，即：频率提取，滤波器滤波，小波变换，三种方法。(This extract on the respiratory signal from ECG investigation, presented a total of three methods, namely: the frequency extraction filter filtering, wavelet transform, three ways.)

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)