noising

Based on the idea of the correlation degree and the EMD ( Empirical Mode Decompositon) time scale filtering, the EMD de-noising method based on the correlation degree is proposed.

基于EMD时间尺度滤波特性，在引入相关度分析的基础上提出了EMD相关度去噪方法。

Compared with improvement situation both time domain waveform and Cagniard resistivity-phase curve, analyzed de-noising effect of measuring point including comparative single noise.

对比了时间域波形和卡尼亚电阻率-相位测深曲线的改善情况，分析了该方法对包含比较单一的噪声干扰测点的去噪效果。

Under the above method the collected noise-containing signals will undergo a multi-dimensional wavelet decomposition and characteristics extraction. Thereafter, the signals are subject to a soft threshold value de-noising treatment with the pretreated information serving as a training input to the neural network.

该方法把采集的含噪信号进行多尺度的小波分解、特征提取，之后对信号进行软阈值去噪处理，将预处理后的信息作为神经网络的训练输入。