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脉搏信号降噪

于 2012-06-18 发布 文件大小:6189KB
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  文基于小波分析的特点,提出了一种对信号进行多重小波 变换的自适应去噪法,该方法不仅克服了小波去噪软硬阈值法的局限性,而且解决了自适应滤波中参考信号选取难的 问题,将该方法用于脉搏信号降噪,得到了满意的去噪效果。(The text features based on wavelet analysis, proposed an adaptive multi-wavelet transform for signal denoising method, this method not only overcomes the limitations of hard and soft thresholding method of wavelet de-noising, and resolve the reference signal adaptive filtering Select the difficult problem of the method is used to the noise of the pulse signal, and been satisfied with the denoising effect.)

文件列表:

maidongxinhao
.............\倒谱技术在人体脉搏信号分析中的应用.pdf,122899,2012-03-05
.............\基于SOPC的人体脉搏信号监测及存储系统设计 (1).pdf,5416545,2012-03-05
.............\基于VB与Access的脉搏信号处理系统的设计 (1).pdf,312436,2012-03-05
.............\基于动态图像的多点脉搏信号检测方法 (1).pdf,510341,2012-03-05
.............\基于多重小波变换的自适应脉搏信号去噪 (1).pdf,259007,2012-03-05

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    本程序是基于小波变换的图像去噪,运行过可以使用(This procedure is based on Wavelet Transform for Image Denoising, run-off can be used)
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    说明:  用于求取小波包变换后小波系数的熵值,对初学者很有帮助(Used to obtain the wavelet coefficients after wavelet packet entropy, helpful for beginners)
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    根据小波变换和噪声信号地能量分布特性,提出了一种先用小波变换对含噪图像进行多尺度分解,求出各尺度小波变换高频系数地噪声方差和阈值,利用各尺度地阈值对高频系数进行处理,然后利用小波变换系数重构图像,实现图像降噪地方法。(According to wavelet transform and noise signal and energy distribution characteristics, a first wavelet transform of the noisy image multiscale decomposition, obtained the high-frequency-scale wavelet transform coefficients and noise variance and thresholds, using the scale to the threshold value of the deal with high-frequency coefficients, and then the use of wavelet transform coefficients reconstructed image, to realize image denoising methods.)
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  • 滚动轴承外圈故障频率,小分析后包络,数据来源西储大学
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