4 papers · 1 filter
A Differentiable Framework for Full and Phaseless Data Inversion Using Neural Implicit Contrast-Source Representation
Haoran Sun, Daoqi Liu, Hongyu Zhou +3
In this study, we extend the contrast source inversion to a fully differentiable, unsupervised framework based on a neural implicit representation of the contrast source. Specifica…
Attenuation Compensation in Lossy Media via the Wave Operator Model
Tianchen Shao, Zekui Jia, Maokun Li +2
The wave operator model provides a framework for modeling wave propagation by encoding material parameter distributions into matrix-form operators. This paper extends this framewor…
Anti-Interference Communication Using Computational Antenna
Xiaocun Zong, Fan Yang, Shenheng Xu +1
This letter proposes a novel anti-interference communication method leveraging computational antennas, utilizing time averaging and 1-bit reconfigurable intelligent surfaces (RIS)…
Multi-frequency Neural Born Iterative Method for Solving 2-D Inverse Scattering Problems
Daoqi Liu, Tao Shan, Maokun Li +2
In this work, we propose a deep learning-based imaging method for addressing the multi-frequency electromagnetic (EM) inverse scattering problem (ISP). By combining deep learning t…