Wavelet threshold methods used in lightning transient electrical signals denoising

Peng Li, Yi Zheng, Chao Han, Lili Song, B. Cao
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引用次数: 5

Abstract

The Birge-Massart threshold wavelet methods were used to denoise lightning transient electrical signals, compared with the traditional de-noising methods such as Smoothing filter and FIR digital low-pass filter. The Means square error (MSE) and Magnitude error (ME) of simulation signals were calculated to compare the de-noising effect. The double exponential-decay pulse signals and Gaussian white-noise were composed as the simulating signals. The measured signals were also used to de-nosing with traditional and wavelet threshold methods. The results of simulation data and measured ones proved that the Birge-Massart threshold wavelet method was better than the traditional ones.
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小波阈值法在雷电瞬态电信号去噪中的应用
采用Birge-Massart阈值小波方法对雷电瞬态电信号进行降噪,并与传统的平滑滤波和FIR数字低通滤波方法进行了比较。计算仿真信号的均方误差(MSE)和幅值误差(ME),比较去噪效果。采用双指数衰减脉冲信号和高斯白噪声作为模拟信号。利用传统阈值法和小波阈值法对实测信号进行去噪处理。仿真数据和实测数据的结果表明,Birge-Massart阈值小波方法优于传统的阈值小波方法。
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