小波分析的讲座，小波分析一直是研究热点，此讲座很好

Dirty paper trellis code for watermarking

小波DWT变换，一般大家是用matlab实现，但是这段程序是用c语言编写。-wavelet dwt

这是关于小波变换的VC源码,test_images 目录下存放是各章程序所需的标准图像 其他目录存放的则是相应章节的程序源代码。 各章节源代码的说明见各个章节的子目录。-This is a wavelet transform on the VC source, test_images storage directory is required for the various chapters of the standards process images stored in other directories is the corresponding source code sections. Various sections of the source code is described in various sections of the subdirectories.

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

本程序实现图像的正交变换，包括傅立叶变换，离散余弦变换，沃尔什变换。-This procedure realize orthogonal transformation images, including Fourier transform, discrete cosine transform, Walsh transform.

二维小波变换源程序-wavelet transform two-dimensional source

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

dwt小波变换，用于对图像的处理与压缩-dwt wavelet transform, for the image processing and compression

小波变换的快速离散算法实现及应用-wavelet transform fast discrete algorithm and its application

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