摘要
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。
On-line monitoring systems is often affected by external interference, and so the signals acquired must be preprocessed 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.
出处
《电气应用》
北大核心
2006年第5期93-95,87,共4页
Electrotechnical Application
关键词
在线监测
小波分析
阈值
去噪
on-line monitoring wavelet transform threshold denoise
