详细介绍了小波变换的相关知识

AppWizard has created this 小波变换 application for you. This application not only demonstrates the basics of using the Microsoft Foundation classes but is also a starting point for writing your application. This file contains a summary of what you will find in each of the files that make up your 小波变换 application. -AppWizard has created this wavelet transform application for you. This applicationnot only demonstrates the basics of using the Microsoft Foundation classesbut is also a starting point for writing your application.This file contains a summary of what you will find in each of the files thatmake up your wavelet transform application.

图像融合处理，实现两幅图像小波变换后的图像融合操作-Image fusion processing, and two images after the wavelet transform image fusion operation

基于带参数整数小波变换可见数字水印，技术很前沿-This is a visible watermark sourcecode based on a integral wavelet transformation with parameters.

a face recognition project that check effect of different wavelet and PCA to face recognition.

小波变换，D4尺度函数和小波函数计算及绘制-Wavelet transform, D4 scaling function and wavelet function calculation and mapping

haar wavelet source code implemented by matlab

说明如何在FPGA中实现FFT-on how to achieve the FFT FPGA

关于二维小波变换程序，用matlab编写的，请大家多提宝贵意见，-on wavelet transform two-dimensional procedures used in the preparation of Matlab, we offer valuable opinions, thank you

小波逆变换的源代码-inverse wavelet transform source code

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