Haar小波变换的源代码，用MATLAB实现

小波讲座ppt，理论鲜明，讲解清楚，容易理解。-Wavelet lectures ppt, distinct theories to explain the clear and easy to understand.

这是小波变换的好多算法，有需要的，可以参考-This is a lot of wavelet transform algorithm, there is a need, and can refer to

利用EDA技术和FPGA在UP3开发板上实现直接数字频率综合器的设计。 实验中加入了相位控制字PWORD，用以控制相位偏移量的前四位，将相位偏移量加到ROM地址总线 上，从而引起从ROM中取得的正弦信号的偏移，实现移相信号发生器的移相功能。 实验中还加入了LCD显示功能，通过LCD显示模块器件，用LCD显示正弦信号的频率，所显示的频 率也是由频率字控制的。LCD的驱动原理同上次实验。-The use of EDA technology and FPGA development in the UP3 board direct digital frequency synthesizer design. Experiment by adding a phase control word PWORD, to control the phase offset of the top four will be added to the phase offset ROM address bus, thereby causing ROM obtained from the sinusoidal signal offset, shifted believe realize its phase-shifting function generator. Experiments have also joined the LCD display, LCD display module through the device, with LCD display the frequency of sinusoidal signal, as shown by the frequency of word frequency control. LCD driving principles with the previous experiment.

用matlab实现的基于小波变换的图像增强去噪-achieved using Matlab based on wavelet transform image enhancement and denoising

滤波器系数重构运用该算法可以对图象进行去噪处理-reconstruction filter coefficients using this algorithm can be right image denoising

Example of Wavelet compression programm.

matlab file for using DWT for digital watermarking

包括两个例子：一个演示一维小波变换，另一个演示二维小波变换。-Including two examples: a demonstration of one-dimensional wavelet transform, another demonstration of two-dimensional wavelet transform.

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

任意阶daubechies小波函数的构造，包括尺度函数和小波函数以及滤波器系数的构造-arbitrary order PG wavelet function, including scaling function and wavelet function and the structure of the filter coefficients