利用小波分析中的小波抑制对信号进行处理，出去噪声和振动对信号的影响，得到源信号。...

采用Matlab编写的小波变换之金字塔分解与重构，该代码很基础，适合初学者了解小波变换-Matlab prepared using the pyramid wavelet transform decomposition and reconstruction, the code is the basis of wavelet transform suitable for beginners to understand

基于小波分析的噪声滤波程序。小波去噪源程序。-Wavelet-based noise filtering procedures

本程序为小波算法的VC实现,适合初学者.-This procedure for the wavelet algorithm to achieve the VC, suitable for beginners,

利用二维离散小波变换技术实现数字水印，并给出水印图像检测结果-The use of two-dimensional discrete wavelet transform of digital watermarking technology, and gives test results watermark images

快速提升小波变换的源程序，可以处理一维和二维信号和图像。-quickly upgrade wavelet transform of the source, can handle one-dimensional and two-dimensional signals and images.

C语言做的基于小波变换的逆零树解码-C language based on the inverse wavelet transform decoding Zerotree

基于Matlab的数字图像相关法的程序实现，本文简单介绍了基于小波变换的图像分解和重构，在此基础上讨论了Matlab语言环境下图像压缩和图像融合的基本方法。-Matlab-based digital image correlation method of the program, this article briefly introduce the wavelet-based image decomposition and reconstruction, on the basis of discussion under the Matlab language environment image compression and image fusion of the basic method.

根据寄存器的值可以显示出特定的方波信号, 根据方波信号可以显示波形-According to register value can show a specific square wave signal, in accordance with square-wave signal can be displayed waveform

97整数小波变换源程序，文件中有可执行程序。-97 Integer Wavelet Transform source code, executable program file.

本书的目的主要是向读者展示傅里叶分析和小波的许多基础知识以及在信号分析方面的应用。全书分为8章和2个附录，前言部分是学习第1章至第7章的准备知识，即内积空间；第1章讲解傅里叶系列的基础知识；第2章讲解傅里叶变换；第3章介绍离散傅里叶变换以及快速傅里叶变换；第4章至第7章讨论小波，重点在于正交小波的构建；附录部分则介绍稍微复杂的一些技术主题以及演示概念或产生图形的MATLAB代码。许多关于小波的文章和参考书籍均要求读者具有复杂的数学背景知识，本书则只要求学生具有较好的微积分以及线性代数知识，通俗易懂，是数学、计算机、电子、通信、地质、医学、机械等专业高年级本科生及研究生的基础教科书，也可作为相关技术人员的参考书。-The main purpose of this book is to show readers Fourier and wavelet analysis of many of the basic knowledge as well as in signal analysis applications. The topics are divided into eight chapters and two appendices, is to learn from the preamble of Chapter 1 to Chapter 7 of the preparation of knowledge, that is, inner product space Chapter 1 on the basis of Fourier series of knowledge Chapter 2 on Fourier Transform Chapter 3 introduced the Discrete Fourier Transform and Fast Fourier Transform Chapter 4 to Chapter 7 to discuss wavelet, with emphasis on construction of orthogonal wavelet appendix describes slightly complex themes, as well as a number of technical concepts or pr