This procedure realize orthogonal transformation images, including Fourier trans...

小波变换的由来及概念，怎么样计算小波变换，直观的形象的理解小波变换。-Wavelet transform and the concept of the origin, how the calculation of wavelet transform, intuitive understanding of the image wavelet transform.

S变换是小波变换的一种扩展，有非常大的价值-S transform is an extension of wavelet transform, has a very large value

系列小波算法c程序-Series of wavelet algorithm c program

小波神经网络程序基于反向传播训练-wavelet-based neural network program back propagation training

多维小波变换工具箱，含具体实例说明，简单易学-Multi-dimensional wavelet transform toolbox, with specific examples, easy to learn

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

基于子带编码的快速小波变换算法-subband coding based on the fast wavelet transform algorithm

dwt小波变换用于图像处理与压缩-dwt wavelet transform for image processing and compression

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.

intel JPEG2000，需要IPP