系列小波算法c程序

基于Trous小波算法的影像融合由于存在抽取和插值运算，其结果存在一定的相位失真Trous小波算法通过有限滤波器内插近似实现对影像数据的无抽取离散小波变换较好地解决了上述问题，在阐述影像数据融合原理的基础上给出了基于Trous小波变换的影像融合处理方法和过程。-Trous wavelet algorithm based on image fusion because of extraction and interpolation operations, the result there is a certain degree of phase distortion trous wavelet algorithm through limited interpolation filter approximation of the image data to achieve without taking discrete wavelet transform can solve the above problems, Before going into the image data fusion based on the principle of give trous wavelet transform based image fusion methods and the process of treatment.

1 from 7 script of basic of python. Simple script for beginners.Slovenian

image noise reduction by level dependent thresholding

不错的界面 不错的界面 不错的界面 不错的界面 -混合

The optimal wavelet function in wavelet based image compression system was examined using different -The optimal wavelet function in wavelet based image compression system was examined using different

基于混沌加密的离散小波变换域数字图像水印算法的研究的期刊论文-DWT Based on Chaotic Encryption Algorithm for Digital Image Watermarking domain of research journal articles

用小波进行地震信号低切处理的例子-seismic wavelet signal processing low-cut examples

很多时候需要小波基的细化，这是一个简单好用的小波基细化程序-often needs small Porgy Thinning, it is a simple and easy procedure thinning small Porgy

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

离散正交小波变换及小波重构，程序中给出测试数据，可得到这组数据小波分解后的低频分量和重构以后的数据-Discrete orthogonal wavelet transform and wavelet reconstruction, procedures given in the test data, available in this set of data after wavelet decomposition and reconstruction after low-frequency component data