摘要：把小波變換模極大值去噪法和小波變換閥值去噪法應用于noissin模擬噪聲信號和某水電站巖石高邊坡安全監測資料,根據信號和噪聲在小波變換各尺度上的不同傳播特性,剔除由噪聲產生的模極大值點,保留信號所對應的模極大值點,利用剩余模極大值點重構小波系數,恢復原有監測信號。并通過信噪比、去噪信號能量比、去噪信號與原信號標準差三個性能指標,比較二者的去噪性能。實例應用表明,小波變換模極大值去噪法能夠更有效地去除噪音突變信號,保留原始有用信號的突變點,重構信號能夠更光滑地重現原始信號,比小波變換閥值去噪法性能更佳,具有更好的實際應用價值。
Wavelet transform is attempted to be applied to safety monitoring.The method eliminates modular maximum caused by the noise,reserves the modular maximum caused by the useful signal using wavelet transform based on the different propagation characteristics of the signal and noise on the different scales,reconstructs wavelet coefficient using maximum residual modular and recoveries the primary monitoring signal.The denoising method of wavelet transform modular maximum and wavelet threshold are applied to two ...
