HIGHLIGHTS
- who: Jiamin Wang et al. from the College of Electronic Engineering, Chengdu University of Information Technology, Chengdu, China have published the research: Research on the Effectiveness of Deep Convolutional Neural Network for Electromagnetic Interference Identification Based on I/Q Data, in the Journal: Atmosphere 2022, 1785 of /2022/
- what: The general experimental in this paper in is shown in Figure 1. This model has a deeper network depth while being tains fewer parameters.
- how: The results showed that all three models could effectively identify the and the quality of the data were improved . . .
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