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Description: This document is intended to serve as an introduction to Wavelet processing through a set of Matlab experiments. These experiments will gives an overview of three fundamental tasks in signal and image processing : signal, denoising and compression. These scripts are selfs contents (needed additional Matlab functions can be downloaded while reading the lectures).
Each one of these five lectures should take between 1h and 2h in order to tests the various features of the scripts. One should copy/paste the provided code into a file names e.g. tp1.m, and launch the script directly from Matlab comand line > tp1 . Some of the scripts contains "holes" that you should try to fill on your own.
I also provide the complete correction of these lectures as a set of Matlab scripts, but you should try as much as possible to avoid using them.
-This document is intended to serve as an introduction to Wavelet processing through a set of Matlab experiments. These experiments will gives an overview of three fundamental tasks in signal and image processing: signal, denoising and compression. These scripts are selfs contents (needed additional Matlab functions can be downloaded while reading the lectures). Each one of these five lectures should take between 1h and 2h in order to tests the various features of the scripts. One should copy/paste the provided code into a file names eg tp1.m, and launch the script directly from Matlab comand line> tp1. Some of the scripts contains holes that you should try to fill on your own.I also provide the complete correction of these lectures as a set of Matlab scripts, but you should try as much as possible to avoid using them.
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Author: 风帆 |
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Description: 通信方面的基础算法，关于相空间分析，小波标架，时频分析等的一些matlab源代码-Communications based on algorithms, on the phase-space analysis, wavelet frame, time-frequency analysis, such as some matlab source code
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Author: dirknash |
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Description: 连续小波变换入门程序,提供了morlet小波变换的算法实现-Continuous Wavelet Transform entry procedures, provided the Morlet wavelet transform algorithm
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Author: liphbgfh |
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Description: 一些基本的小波变换程序，拿来与大家共享，可能对初学者有些帮助-Wavelet transform some of the basic procedures used with the U.S. share may be helpful for beginners
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Author: emmy |
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Description: 产生ricker子波的程序，对于地震源研究有重要意义-Ricker wavelet have the procedure, for earthquake source study has important significance
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Author: Jason |
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Description: 小波变换的matlab代码，包括EZW,Imfus,modify-shift和shift-Wavelet transform matlab code, including EZW, Imfus, modify-shift and shift
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Author: zhuxueqing |
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Description: 利用MATLAB中的小波信号对语音信号的基音提取-The use of MATLAB Wavelet signal for pitch extraction of speech signals
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Author: liguang |
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Description: 对图象进行离散小波变换然后嵌入水印在进行提取并检测-Of image discrete wavelet transform and then embedded watermark during the extraction and detection
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Author: feng lei |
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Description: 计算时间序列的Hurst系数有许多方法，但是其中最准确的就是利用小波法来计算，本程序用Matlab实现了用小波来计算Hurst系数。-Calculation of the Hurst coefficient of time series has a number of ways, but one of the most accurate method is to use wavelet basis, the procedures used to achieve the use of Matlab to calculate the Hurst coefficient of wavelet.
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Author: 蒲峰 |
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Description: 第二代小波变换，基于提升格式的整数小波实现数字图像的无损压缩编码-Second-generation wavelet transform, lifting scheme based on integer wavelet realize the lossless compression of digital image coding
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Author: angy |
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Description: 语音信号去噪，在MATLAB开发环境下，对含噪声的语音信号进行小波变换，根据阈值去噪的原理去噪，然后逆变换得到增强的语音信号-Speech Signal Denoising in the MATLAB development environment, including noise on the voice signal wavelet transform, in accordance with the principle of threshold denoising Denoising, and then inverse transform enhanced speech signal
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Author: 王鹏 |
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Description: 小波变换的一级分解过程是，原始信号分别进行低通、高通滤波，再分别进行二元下抽样，就得到低频、高频（也称为平均、细节）两部分系数；而多级分解则是对上一级分解得到的低频系数再进行小波分解，是一个递归过程。-Wavelet decomposition level is, the original signal were low-pass, high pass filter, and then carried out under the binary sample, we obtained low-frequency, high-frequency (also known as the average, details) coefficient of two parts and multi-level decomposition it is the decomposition level to be low-frequency coefficients further wavelet decomposition is a recursive process.
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Author: 王正 |
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Description: 对于信号的奇异性检测，也是一个道理。
％ 小波变换用于奇异检测
％ 编程人: 沙威(Wei Sha) 安徽大学(Anhui University) ws108@ahu.edu.cn
-For the singularity detection signal is also a reason. Wavelet Transform singularity detection for programming by: much excited to meet (Wei Sha) Anhui University (Anhui University) ws108@ahu.edu.cn
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Author: wudong |
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Description: 把图像进行三级分解，去掉低频部分，进行重构，从而用小波提取指定方向（4个）的图像边缘-3 decomposition of the image to remove low-frequency part is reconstructed, which specify the direction of extraction using wavelet (4) Edge
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Author: 陆波 |
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Description: WMTSA toolbox is an implemenation for MATLAB of the wavelet methods for
time series analysis techniques presented in:
Percival, D. B. and A. T. Walden (2000) Wavelet Methods for
Time Series Analysis. Cambridge: Cambridge University Press.
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Author: 黄同成 |
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Description: 小波变换源代码集
这是葛哲学编著《小波分析理论与MATLAB R2007实现》的所有源代码。包含大量的实例和典型应用。
a good example of wavelet for beginner and wavelet applied engineer-Wavelet Transform source code set which is edited by GE philosophy wavelet analysis theory and MATLAB R2007 realize all the source code. Contains a large number of examples and typical applications. a good example of wavelet for beginner and wavelet applied engineer
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Description: 我自己写的小波变换，有低频系数图像，水平高频图像，垂直高频图像，希望对大家有帮助-I wrote it myself wavelet transform, there are low-frequency coefficient images, the level of high-frequency images, the vertical high-frequency images, we hope to help
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Author: 刘雪 |
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Description: MATLAB6.5辅助小波分析与应用，用于小波分析。-MATLAB6.5 assisted with the application of wavelet analysis for wavelet analysis.
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Author: libaiyan |
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Description: 基于IHS变换的图像融合matlab程序，基于IHS变换和小波帧变换的图像融合matlab程序。-IHS transform based image fusion matlab program, based on the IHS transform and wavelet frame transform matlab image fusion procedures.
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Author: lieutenant |
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Description: 图像去噪是图像处理领域中的一个重要内容，图像去噪总是需要在抑制噪声和保持图像细节之间做折衷。小波变换作为一种新的信号处理工具，在信号去噪领域已得到了成功的应用。在传统的基于正交小波变换的图像去噪方法中，重建图像在边缘附近容易产生振荡从而造成边缘失真，噪声较严重时还会产生模糊边缘；利用冗余小波变换，可以克服正交小波变换去噪存在的不足, 进一步提高算法的去噪性能-Image denoising image processing is an important area of content, image denoising is always the need to suppress noise and maintain a compromise between image detail. Wavelet transform as a new signal processing tools, in the field of signal de-noising has been applied successfully. In the traditional orthogonal wavelet transform based image denoising methods, the reconstructed image at the edge near the oscillation and thus prone to cause the edge of distortion, noise will also produce more serious when the fuzzy edge the use of redundant wavelet transform, orthogonal wavelet can be overcome Transform Denoising deficiencies, further improving the performance of denoising algorithms
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Author: 李胖子 |
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