it is a function of wavelet transform

子波变换与子波分析-wavelet transform and wavelet analysis

基于小波分析理论实现的红外图像与可见光图像融合-Based on wavelet analysis theory of the realization of the infrared image and visible image fusion

Wavelet transform routines

图像正交变换，包括傅里叶变换，离散余弦变换，沃尔什变换，小波变换等-Orthogonal transformation images, including Fourier transform, discrete cosine transform, Walsh transform, wavelet transform, etc.

酒店综合管理系统，包含网络管理，上网，电话等各种功能在内的系统设计-Hotel management system, including network management, Internet, telephone and other various functions, including system design

小波变换中卷积的源代码，经过注释和整理，可以直接被调用，很方便-Wavelet Transform in the convolution of the source code, after the Notes and finishing, you can call directly, it is convenient

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

FWT_Stat用信号的平稳位移计算二进小波正变换 MM2_DWT图像的二进小波变换的模极大-FWT_Stat using signal to the smooth displacement dyadic wavelet transform is the two images MM2_DWT Progressive wavelet transform modulus maxima

W53和D97小波的小波提升原理，很易懂！英文。-W53 D97 and the Lifting of wavelet theory, very easy! English.

It is used to filter the info. using wavelet transform