小波图象处理软件

Wavelet transform routines

快速傅立叶变换代码 快速傅立叶变换代码-Fast Fourier Transform Fast Fourier Transform source code

目标检测通用程序 采用CURVELET变换 多分辨分析方法 类似于小波分析 -General procedures for target detection using Curvelet transform multiresolution analysis method is similar to wavelet analysis

小波变换的数字水印算法，附有论文和源程序。-Wavelet Transform Digital Watermarking Algorithm, with papers and source code.

基于小波变换的图像压缩，里面有检测的图像，采用海尔波-Based on wavelet transform image compression, there are test images, using海尔波

基于小波变换的数据融合- Fuses based on the wavelet transformation data

利用haar小波进行图像消除噪声 fir1: 1D filter-design (signal processing toolbox) following lines for proper rescaling of the noise, such that desired-Using haar wavelet image to eliminate noise fir1: 1D filter-design (signal processing toolbox) following lines for proper rescaling of the noise, such that desired

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

尺度函数和小波函数的生成程序-scaling function and wavelet function of generating program

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