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Research on Multiclassification Algorithm of Ultrawideband Pulsar RFI Based on MobileNetV2

  • Authors: Wenna Cai, Hailong Zhang, Yazhou Zhang, Jie Wang, Xu Du, Ting Zhang, Yuyue Jiao, Hongmei Tang, Xinchen Ye, Wanqiong Wang, Jia Li

Wenna Cai et al 2026 The Astronomical Journal 171 .

  • Provider: AAS Journals

Caption: Figure 15.

Comparison chart before and after interference elimination. Panel (a) shows the ultra-wideband pulsar data affected by a variety of RFIs. There are a variety of RFIs in different channel ranges, so that the true pulsar signal is masked. It is the input data of the RFI-MN structure. Panel (b) presents the RFI-labeled and classified data after interference suppression—the core objective of this study, which aims to mitigate the impact of RFI on astronomical data and provide clean data for subsequent scientific research.

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