Sparse Expansions Using Physical and Polynomial Basis Functions for Compressed Sensing of Frequency Domain EM Scattering
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/7727/7024204/07018070.pdf?arnumber=7018070
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Sparse Synthetic Aperture Radar Imaging From Compressed Sensing and Machine Learning: Theories, applications, and trends;IEEE Geoscience and Remote Sensing Magazine;2022-12
2. A Surrogate Modeling Technique Based on Space Mapping for Radar Cross Section;IEEE Antennas and Wireless Propagation Letters;2022-08
3. Scattering response modeling scheme based on combined neural network inspired by the equivalent scattering center;Optics Express;2022-02-17
4. Compressed Sensing Radar Imaging: Fundamentals, Challenges, and Advances;Sensors;2019-07-13
5. An Improved Attributed Scattering Model Optimized by Incremental Sparse Bayesian Learning;IEEE Transactions on Geoscience and Remote Sensing;2016-05
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