小波算法实现的VC实现，用于基本的图像编码处理

多维小波变换实现了一种新的处理方法和途径.-Multi-dimensional wavelet transform to achieve a new deal with ways and means.

基于小波变换的图像压缩方法。应用SOPM改善。-Based on wavelet transform image compression method. SOPM applications to improve.

本程序用于实现一层小波变换，即在频域对图像进行处理-the procedures used to achieve a layer of wavelet transform, in the frequency domain for image processing

97浮点一次小波变换，注意变换中的边界扩展问题-A 97-point wavelet transform, transform Note the expansion of the boundary problem

CurveLab 图象处理matlab工具箱，对信噪比较低情况下的边界处理有较好的处理效果-CurveLab Image Processing Toolbox Matlab, right lower signal-to-noise ratio of the border is better treatment effect

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

Stanford 小波变换函数集，包含很多最新的小波变换函数-Stanford wavelet transform function set, including many of the latest wavelet transform function

利用小波变换对信号进行分析处理,现代信号处理,胡广书编-using wavelet analysis of signal processing, modern signal processing, Mr Kwong Textbook

实行针对图像的DCT以及IDCT变换的源程序。-instituting image DCT and IDCT transformation of the source.

小波分析理论与MATALB R2007 实现源程序 一共有20章内容 希望对大家有帮助 -Wavelet analysis theory and MATALB R2007 to achieve source code of a total of 20 chapters hope to help