信号的消噪处理和信号源识别是振动分析中的两个重要问题。
The signal de-noising processing and signal source identification are two important problems in mechanical vibration analysis.
本文给出了信号多分辨率分析在信号消噪方面的具体应用实例。
This paper gives out the examples of the multiresolution analysis in signal canceling noise.
信号分析被广泛用于消噪、特征提取、状态识别、故障诊断等。
Signal processing algorithms have been broadly used for cancelling noise, extracting feature, identifying status and diagnosing malfunction.
通过分析各分信号的标准差，确立了小波分析标准，为胎儿心率信号的消噪处理提供参照。
Establishment a standard of wavelet analysis by analysis standard deviation of every sub-signal, handles to provide to according to the de-noising of the fetal heart rate signal.
小波包分析具有优良的时频特性，可以有效地用于数字信号的消噪处理和对信号进行特征提取。
The wavelet packet theory has the good hour-frequency characteristic, it can be availably used for the noise suppression processing of the digital signal and withdrawing the signal characteristic.
为了弥补传统阈值函数在消噪过程中存在的不足，得到高信噪比的心音信号更好地进行心音分析，本文提出一种新的阈值函数。
To compensate for the deficiencies of traditional threshold functions and obtain the heart sound with high SNR for better analysis, a novel threshold function was proposed in this study.
为了弥补传统阈值函数在消噪过程中存在的不足，得到高信噪比的心音信号更好地进行心音分析，本文提出一种新的阈值函数。
To compensate for the deficiencies of traditional threshold functions and obtain the heart sound with high SNR for better analysis, a novel threshold function was proposed in this study.
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