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Discussion on the wavelet adjustment factor threshold noise reduction technology based on DSP

机译:基于DSP的小波调整因子阈值降噪技术探讨

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Because of discontinuity at threshold, hard threshold de-noising leads to the additional oscillation at threshold when reconstructing the signal, so that the smoothness of the de-noised signal becomes weak;;Soft threshold de-noising method can guarantee the good continuity of the signal. However, for the existence of the fixed bias between the estimated threshold and actual threshold, there are also deviations between the reconstructed signal and the actual signal existing deviations too. In this work, by using the high performance DSP as a signal processing tool, we reduced the noise of actual measured vibration signal collected from headstock of CA6140 lathe. By comparing, the result is the same as the noise reduction simulation calculated from MATLAB, which demonstrates the noise reduction effect of wavelet adjustment factor threshold de-noising apparently.
机译:由于阈值的不连续性,硬阈值去噪在重建信号时以阈值在阈值下导致额外的振荡,从而使得去噪信号的平滑度变弱;软阈值去噪方法可以保证良好的连续性信号。然而,为了在估计阈值和实际阈值之间存在固定偏压,还存在在重建信号和实际信号存在于现有偏差之间的偏差。在这项工作中,通过使用高性能DSP作为信号处理工具,我们降低了从CA6140车床的备件收集的实际测量振动信号的噪声。通过比较,结果与来自MATLAB计算的降噪仿真相同,这表明小波调节因子阈值偏差显然的降噪效果。

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