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XIAOBOQUZAO

于 2014-03-26 发布 文件大小:7300KB
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下载积分: 1 下载次数: 12

代码说明:

  小波分析在心电信号去噪中的应用,小波变换在心电图数据处理中的应用研究(Wavelet analysis of ECG signal denoising)

文件列表:

小波去噪
........\基于小波分析的心电信号去噪研究.pdf,1694551,2013-11-10
........\基于小波分析的心电去噪研究.caa,376,2013-10-25
........\基于小波变换的心电信号处理与识别系统.caa,368,2013-10-14
........\基于小波变换的心电信号处理与识别系统_李亮亮.caj,5234175,2013-11-26
........\基于小波阈值的心电信号去噪算法.pdf,442300,2013-11-04
........\小波变换在心电信号去噪中的应用_魏珑.caj,568962,2013-10-14
........\小波变换在心电图数据处理中的应用研究.caa,368,2013-10-14
........\小波阈值去噪技术在ECG信号处理中的应用_1357731366812.pdf,227018,2013-11-04
........\心电去噪与QRS波检测算法研究.caa,376,2013-12-23
........\第二代小波变换在ECG信号的应用研究.caa,376,2013-10-14

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    2008-11-21 22:31:07下载
    积分:1
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    Matlab 二进小波变换程序,求取模极大值程序(Matlab wavelet transform into two procedures, to strike maxima procedures)
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    2012-12-03 11:30:08下载
    积分:1
  • DWT
    基于小波变换的数字盲水印及对嵌入水印后图像的攻击检测(Attack detection based on wavelet transform digital blind watermark and the watermarked image)
    2012-06-01 21:01:52下载
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    希尔伯特变换和小波变换检测相位差的matlab程序和一些资料(Hilbert transform and wavelet transform to detect the phase difference matlab program and some of the information)
    2012-10-20 19:46:59下载
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    2008-05-06 07:54:00下载
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  • elec
    本程序应用小波变换进行电力系统的在线监测。电力系统在线监测中的检测信号含有大量的背景噪声,不便于检测。应用小波变换解决这一问题。程序中应用db3小波对信号进行5层分解,并得出了各层的细节信号与逼近信号。(This procedure based on wavelet transform power-line monitoring system. Online monitoring of power system test signal contains a lot of background noise, not easy to detect. Application of wavelet transform to resolve this problem. Application procedures for db3 wavelet signal decomposition layer 5, and arrive at different levels of detail signal and approximation signal.)
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    建立舰船航行的误差模型,通过进行卡尔曼滤波,求出测量曲线与真身曲线的误差曲线(Ship navigation error model established by the Kalman filter, find the measurement curve and the true identity of the error curve curve)
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    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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