Low-Frequency Data Prediction with Iterative Learning for Highly Nonlinear Inverse Scattering Problems

The #ELEDIAResearchCenter is pleased to announce that a new paper on “Low-Frequency Data Prediction with Iterative Learning for Highly Nonlinear Inverse Scattering Problems” has been published:

Z. Lin et al., “Low-Frequency Data Prediction With Iterative Learning for Highly Nonlinear Inverse Scattering Problems,” in IEEE Transactions on Microwave Theory and Techniques, doi: 10.1109/TMTT.2021.3098769.

The paper can be downloaded at the following link: https://lnkd.in/dR2yi4JQ


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