利用小波变换进行边缘检测

用matlab实现小波分解与重构的几个程序的源代码。-using Matlab achieve wavelet decomposition and reconstruction of several programs at the source code.

关于如何实现Gabor小波变换的文章,对于想亲自动手实现Gabor小波变换的朋友非常有用.-on how to achieve Gabor wavelet transform article, want to personally get involved to achieve Gabor wavelet transform friends very useful.

图像多尺度分析，小波变换的进一步发展slantlet变换代码，用matlab编写有使用说明-slantlet code

通过小波变换，由小波系数的梯度值提取图像的边缘-wavelet transform, wavelet coefficients from the gradient from the edge of the image

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

离散小波变换源程序-DWT source

采用Matlab编写的小波变换之金字塔分解与重构，该代码很基础，适合初学者了解小波变换-Matlab prepared using the pyramid wavelet transform decomposition and reconstruction, the code is the basis of wavelet transform suitable for beginners to understand

子波变换与子波分析-wavelet transform and wavelet analysis

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

快速提升小波变换的源程序，可以处理一维和二维信号和图像。-quickly upgrade wavelet transform of the source, can handle one-dimensional and two-dimensional signals and images.