industrial ultrasonic measurement technology

％threerayRayleigh.m ％ Last Homework pp. 253 5.31 (Second Edition English) ％ Default parameters ％ -threerayRayleigh.m%% Last Homework pp. 2 53 5.31 (English Second Edition) para% Default meters%

小波压缩解压演示-wavelet compression decompression demo

小波理论与应用书中参考程序，二进小波变换图像增强及数字水印。c++程序-Wavelet Theory and Applications book reference procedure, the dyadic wavelet transform image enhancement and digital watermarking. c++ program

关于多小波的Matlab代码。压缩包解压时不能有密码。-On Multiwavelet Matlab code. When extracting compressed package should not have a password.

提升小波变换程序， %LWT Lifting wavelet decomposition 1-D. % LWT performs a 1-D lifting wavelet decomposition % with respect to a particular lifted wavelet that you specify.-lifting wavelet transform procedures% Local Walsh Transform Lifting wavelet decomposition 1-D. % Local Walsh Transform performs a 1-D lifting wavelet decomposition% with respect to a particular lifted wavelet that you specify.

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

嵌入式小波预测编解码器的设计，目前只支持灰度图像的情况。-forecast embedded wavelet codec design, currently supports only the gray-scale image.

小波分解在图像放大缩小中的应用-wavelet decomposition in Image Zooming Application

C语言做的基于小波变换的逆零树解码-C language based on the inverse wavelet transform decoding Zerotree

Visual C++小波变换技术与工程实践（小波变换实现虑波）-Visual C wavelet transform technology and engineering practice (wavelet transform worry wave)