在线监测系统中小波去噪方法及模型的建立

在线监测系统通常受到很强的外界干扰,因此对采集到的信号必须进行去噪处理才能获得可靠的信息。针对此类噪声问题,利用信号与噪声进行小波变换后在各尺度空间呈现的不同特性,提出了基于小波变换的阈值去噪法。结果表明,这种去噪算法可以有效地提取接在线监测信号的特征,有较大的实用价值。

Method and Model Setup of Wavelet Denoising in On-Line Monitoring Systems

On-line monitoring systems is often affected by external interference, and so the signals acquired must be prepro-cessed to obtain reliable informations. In accordance with this kind of noise pollution problem , denoising based on wavelet transform is brought forward, according to the fact that the maximum wavelet transfer modulus of noise and signals have different characters in wavelet space. Results illustrate that this method can extract characteristics of signals effectively and have good value in practice.