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Wavelets

于 2008-09-08 发布 文件大小:89KB
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代码说明:

说明:  小波变换技术与工程实践:图像的小波变换(MFC框架下)(Wavelet transform technology and engineering practice: Image Wavelet Transform (MFC framework))

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    C语言实现一维离散小波变换,通过mallat算法实现对一维信号的快速重构和分解。(C language implementation of a one-dimensional discrete wavelet transform, fast algorithm by mallat one-dimensional signal reconstruction and decomposition.)
    2021-01-02 16:48:57下载
    积分:1
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    说明:  小波变换技术与工程实践:图像的小波变换(MFC框架下)(Wavelet transform technology and engineering practice: Image Wavelet Transform (MFC framework))
    2008-09-08 23:18:34下载
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    说明:  GHM多小波的变换与逆变换,包括预处理和后处理(GHM multi-wavelet transform and inverse transform)
    2021-04-28 11:38:44下载
    积分:1
  • Vsbq
    虚拟示波器,用VC++语言编写,界面简洁,使用方便,供大家学习参考。(VC virtual oscilloscope)
    2011-11-05 14:13:05下载
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    Wavelet compression algorithm. Start by computing a complete wavelet-transform using the cohen-daubechies-fevereau (2,2) biorthogonal wavelet (which incidentally seems to be the same as used for lossless JPEG2000, but they call it a (5,3)?).
    2014-02-06 22:44:46下载
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    2020-11-10 20:19:45下载
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  • wavelet
    基于DB4 的小波变换,实现了小波的分解与重构,可根据实际需要修改阈值的选取方法(Based DB4 wavelet transform to achieve wavelet decomposition and reconstruction, according to the actual need to modify the threshold selection method)
    2021-03-15 14:59:22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.)
    2014-07-10 18:16:49下载
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