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Wavelet-dec--rec

于 2014-07-10 发布 文件大小:156KB
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  在理解了离散小波变换的基本原理和算法的基础上,通过设计VC程序对简单的一维信 号在加上了高斯白噪声之后进行Daubechies小波、Morlet小波和Haar小波变换,从而得到小波分解系数;再通过改变分解得到的各层高频系数进行信号的小波重构达到消噪的目的。在这一程序实现的过程中能直观地理解信号小波分解重构的过程和在信号消噪中的重要作用,以及在对各层高频系数进行权重处理时系数的选取对信号消噪效果的影响。(In understanding the basis of discrete wavelet transform basic principles and algorithms, through the design VC program Daubechies wavelet, Morlet wavelet and Haar wavelet transform after a simple one-dimensional signal plus a Gaussian white noise, resulting wavelet coefficients wavelet reconstruction signal again by changing the layers to achieve high-frequency coefficients decomposed noise cancellation purposes. Can intuitively understand wavelet decomposition and reconstruction process and an important role in signal de-noising in the process of implementation of this program, and in the high-frequency coefficients when the weight of the layers selected for signal processing coefficients denoising affected.)

文件列表:

一维信号小波分解与重构的VC%2B%2B源程序
..................................\一维信号小波分解与重构的VC%2B%2B源程序
..................................\..................................\Algothms.lib,1768,2001-01-01
..................................\..................................\AutoFont.cpp,7542,2000-05-22
..................................\..................................\AutoFont.h,2344,2002-12-25
..................................\..................................\DlgIDWT.cpp,7884,2004-01-15
..................................\..................................\DlgIDWT.h,2046,2004-01-15
..................................\..................................\Process.h,5866,2005-01-23
..................................\..................................\ReadMe.txt,3597,2004-01-13
..................................\..................................\RES


..................................\..................................\...\Wavelet.rc2,399,2004-01-13
..................................\..................................\Resource.h,2152,2004-02-01
..................................\..................................\Splash.cpp,3269,2005-01-22
..................................\..................................\Splash.h,1178,2004-01-13
..................................\..................................\StdAfx.cpp,209,2004-01-13
..................................\..................................\StdAfx.h,1054,2004-01-13
..................................\..................................\TEMP
..................................\..................................\....\c0.txt,5307,2005-01-23
..................................\..................................\....\c1.txt,2541,2005-01-23
..................................\..................................\....\c2.txt,1250,2005-01-23
..................................\..................................\....\c3.txt,617,2005-01-23
..................................\..................................\....\c4.txt,347,2005-01-23
..................................\..................................\....\c5.txt,174,2005-01-23
..................................\..................................\....\c6.txt,87,2005-01-23
..................................\..................................\....\c7.txt,44,2005-01-23
..................................\..................................\....\c8.txt,21,2005-01-23
..................................\..................................\....\c9.txt,12,2005-01-23
..................................\..................................\....\c;.txt,0,2005-01-23
..................................\..................................\....\c=.txt,0,2005-01-23
..................................\..................................\....\c@.txt,0,2005-01-23
..................................\..................................\....\cA.txt,0,2005-01-23
..................................\..................................\....\cB.txt,0,2005-01-23
..................................\..................................\....\cC.txt,0,2005-01-23
..................................\..................................\....\cD.txt,59,2005-01-23
..................................\..................................\....\d1.txt,2844,2005-01-23
..................................\..................................\....\d2.txt,1417,2005-01-23
..................................\..................................\....\d3.txt,700,2005-01-23
..................................\..................................\....\d4.txt,343,2005-01-23
..................................\..................................\....\d5.txt,175,2005-01-23
..................................\..................................\....\d6.txt,86,2005-01-23
..................................\..................................\....\d7.txt,40,2005-01-23
..................................\..................................\....\d8.txt,20,2005-01-23
..................................\..................................\....\d9.txt,12,2005-01-23
..................................\..................................\....\d;.txt,0,2005-01-23
..................................\..................................\....\d=.txt,0,2005-01-23
..................................\..................................\....\d@.txt,0,2005-01-23
..................................\..................................\....\dA.txt,0,2005-01-23
..................................\..................................\....\dB.txt,0,2005-01-23
..................................\..................................\....\dC.txt,0,2005-01-23
..................................\..................................\....\dD.txt,70,2005-01-23
..................................\..................................\Wavelet.aps,59284,2005-01-23
..................................\..................................\Wavelet.clw,4141,2005-01-23
..................................\..................................\Wavelet.cpp,2295,2004-01-15
..................................\..................................\Wavelet.dsp,5013,2004-02-01
..................................\..................................\Wavelet.dsw,539,2004-01-14
..................................\..................................\Wavelet.h,1335,2004-02-01
..................................\..................................\Wavelet.ncb,123904,2005-01-23
..................................\..................................\Wavelet.opt,48640,2005-01-23
..................................\..................................\Wavelet.plg,953,2005-01-23
..................................\..................................\Wavelet.rc,10506,2005-01-23
..................................\..................................\WaveletDlg.cpp,17900,2005-01-23
..................................\..................................\WaveletDlg.h,2410,2005-01-23
..................................\..................................\WBButton.cpp,8571,2002-12-08
..................................\..................................\WBButton.h,4012,2002-12-25
..................................\可执行文件
..................................\..........\inputdata1.txt,5084,2001-01-01
..................................\..........\inputdata2.txt,2406,2004-01-15
..................................\..........\一维信号小波分解与重构.exe,184401,2005-01-23
..................................\小波分解与重构原理.doc,64512,2005-09-23

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    9/7 二维整数小波变换,可以实现图像的无损恢复。(9/7 two-dimensional integer wavelet transform, you can realize non-destructive restoration of images.)
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    2011-06-20 21:11:45下载
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    2020-12-20 10:59:10下载
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  • Wavelet-dec--rec
    在理解了离散小波变换的基本原理和算法的基础上,通过设计VC程序对简单的一维信 号在加上了高斯白噪声之后进行Daubechies小波、Morlet小波和Haar小波变换,从而得到小波分解系数;再通过改变分解得到的各层高频系数进行信号的小波重构达到消噪的目的。在这一程序实现的过程中能直观地理解信号小波分解重构的过程和在信号消噪中的重要作用,以及在对各层高频系数进行权重处理时系数的选取对信号消噪效果的影响。(In understanding the basis of discrete wavelet transform basic principles and algorithms, through the design VC program Daubechies wavelet, Morlet wavelet and Haar wavelet transform after a simple one-dimensional signal plus a Gaussian white noise, resulting wavelet coefficients wavelet reconstruction signal again by changing the layers to achieve high-frequency coefficients decomposed noise cancellation purposes. Can intuitively understand wavelet decomposition and reconstruction process and an important role in signal de-noising in the process of implementation of this program, and in the high-frequency coefficients when the weight of the layers selected for signal processing coefficients denoising affected.)
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    积分:1
  • tWavveletVCReh
    通过设计Visual C程序源码对简单易懂的一维信号在加上了高斯白噪声之后进行Daubechies小波、Morlet小波与Haar小波变换,从而的到小波分解系数;再通过改变分解的到的各层高频系数数进行信号的小波重构达到消噪噪的目的。在这一程序源码实现的过程中能直观地理解信号小波分解重构的过程与在信号消噪中的重要作用,和在对各层高频系数进行权重处理时系数的选取对信号消噪效果的影响。 可直接 (Design Visual C program source code on a simple one-dimensional signal with a Gaussian white noise Daubechies wavelet, Morlet wavelet and Haar wavelet transform, and thus to the wavelet coefficients and then change the decomposition to each storey wavelet reconstruction frequency coefficient of the number of signal to noise canceling noise. In the process of realization of this program source code can be intuitively understood the signal wavelet decomposition and reconstruction process and an important role in signal denoising, and the selection coefficient in the high frequency coefficients of the layers of the weight of processing noise cancellation signal impact. Can be directly)
    2012-07-27 16:21:08下载
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