EMI signal feature enhancement based on extreme energy difference and deep auto‐encoder
Hongyi Li, Shengyu Chen, Shaofeng Xu, Ziming Song, Jiaxin Chen, Di Zhao · IET Signal Processing · 2018
To enhance features of different electromagnetic interference (EMI) signals, which are significant for further feature extraction and pattern recognition, the authors propose an EMI signal feature enhancement method based on extreme energy difference and a deep auto‐encoder. Experimental results show that this method can effectively enhance features of EMI signals and improve recognition accuracy.