小波压缩解压演示

This function computes the support of the (discrete) dual wavelet functions, ％ i.e. the first and last non-zero entry of the forward wavelet transform-This function computes the support of the (discrete) dual wavelet functions, ie the first and last non-zero entry of the forward wavelet transform

image compression using wavelets

用来分析信号频分量，对信号进行分解。可用于图像、的分解和重构。-Used to analyze the frequency component signal, the signal decomposition. Can be used for images, the decomposition and reconstruction.

haar wavelet source code implemented by matlab

光谱的定量测量程序,用matlab编写,比较使用.-Spectra of quantitative measurement procedures, using matlab write, compare the use of.

An Introduction to Wavelets

实现哈尔小波变换（压缩算法）-achieve Khan wavelet transform (compression algorithm)

关于常用图像处理的vc源码，还有像傅丽叶逆变换，小波变换等-On the commonly used image processing vc source, as well as傅丽叶inverse transform, wavelet transform, etc.

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

Wavelet transform routines