A Convolutional De-Quantization Network for Harmonics Suppression in One-Bit SAR Imaging-Reference-Cited by-同舟云学术

A Convolutional De-Quantization Network for Harmonics Suppression in One-Bit SAR Imaging

Published:2023 Issue: Volume:61 Page:1-16
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Si Cuiqi¹^ORCID,Zhao Bo¹^ORCID,Huang Lei¹^ORCID,Liu Shiqi¹^ORCID

Affiliation:

1. State Key Laboratory of Radio Frequency Heterogeneous Integration, College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China

Funder

National Natural Science Foundation of China

Joint Fund of Ministry of Education and Equipment Development Department

Basic and Applied Basic Research Foundation of Guangdong Province

Huzhou Key Laboratory of Terahertz Integrated Circuits and Systems

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10309979.pdf?arnumber=10309979

Reference35 articles.

1. Signal Parameter Estimation Using 1-Bit Dithered Quantization

2. Online stochastic linear optimization under one-bit feedback;zhang;Proc 33rd Int Conf Mach Learn (ICML),2016

3. A MAP Approach for 1-Bit Compressive Sensing in Synthetic Aperture Radar Imaging

4. Robust 1-bit Compressed Sensing and Sparse Logistic Regression: A Convex Programming Approach

5. Passive Synthetic Aperture Radar Imaging Using Low-Rank Matrix Recovery Methods

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