图像Up

计算小波变换的Mallat算法需要逐级分解和重构，而本文通过矩阵变换方法，给出不需逐级计算的小波分解和重构矩阵的构造方法，并给出9/7小波的分解和重构矩阵的基向量及波形图。-Calculation of the Mallat algorithm of wavelet transform decomposition and reconstruction needs level, and this article through the matrix transformation method of calculation without level wavelet decomposition and reconstruction of the structure matrix method of 9/7 wavelet decomposition and re- conformation of the base matrix and the wave vector.

applies soft-threshold t to all elements of x and computes SURE

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

小波图像处理程序-wavelet image processing

小波包在图像处理中的应用，包括消噪，压缩，边缘检测等。-Wavelet packet in image processing applications, including de-noising, compression, edge detection and so on.

一个关于图像边缘检测的实用程序-A practical program for image edge check

逆滤波处理源代码-inverse filtering source code

用于图像的多尺度分析，shapelet变换用matlab 编程实现-shapelet code

小波分解与合成，嵌入式编码与解码程序，用于语音和图像压缩-Wavelet decomposition and synthesis, embedded encoding and decoding procedures for voice and image compression

9_7小波变换的程序代码，注意是与5_3小波变换是有区别的-9_7 wavelet transform code, attention is 5_3 wavelet transform there is a difference between