Your Location：
Home >
Browse articles >
Superresolution reconstruction of E-field for assessing millimeter-wave exposure based on gradient-informed generative adversarial networks with plane-wave integral representation
Regular Papers | Updated：2026-05-27

    • Superresolution reconstruction of E-field for assessing millimeter-wave exposure based on gradient-informed generative adversarial networks with plane-wave integral representation

    • 基于梯度引导生成对抗网络与平面波积分表示的毫米波暴露评估电场超分辨率重建
    • ENGINEERING Information Technology & Electronic Engineering   Vol. 27, Issue 5, Pages: 1-10(2026)

    • DOI：10.1631/ENG.ITEE.2025.0021    

      CLC： TN015

    • Received：07 September 2025，

      Revised：2026-03-26，

      Online First：20 May 2026，

      Published：2026-05

    Scan QR Code

  • Shiwei YI, Congsheng LI, Tongning WU. Superresolution reconstruction of E-field for assessing millimeter-wave exposure based on gradient-informed generative adversarial networks with plane-wave integral representation[J]. ENGINEERING Information Technology & Electronic Engineering, 2026, 27(5): 1-10. DOI： 10.1631/ENG.ITEE.2025.0021.

  •  
  •  

0

Views

18

Downloads

0

CSCD

PlumX

>
Alert me when the article has been cited
Submit
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

From software-defined interconnect to software-defined system-on-wafer: a computing architecture revolution in the post-Moore era
High-precision temperature prediction for atmospheric refractivity correction using Kalman spatiotemporal data fusion
HyRAS: a hybrid redundancy- and serialization-based fault-tolerant architecture for through-silicon vias
MH-Raft: an efficient and low-latency consensus algorithm for distributed systems via MOEA/D and hybrid hierarchical clustering
An approach to characterizing the power system security region by integrating distributionally robust optimization and Transformer-based deep learning

Related Author

No data

Related Institution

No data
0