Coded-Aperture Computational Millimeter-Wave Image Classifier Using Convolutional Neural Network-Reference-Cited by-同舟云学术

Coded-Aperture Computational Millimeter-Wave Image Classifier Using Convolutional Neural Network

Published:2021 Issue: Volume:9 Page:119830-119844
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Sharma Rahul¹^ORCID,Hussung Raphael²^ORCID,Keil Andreas²,Friederich Fabian²,Fromenteze Thomas³^ORCID,Khalily Mohsen⁴^ORCID,Deka Bhabesh⁵^ORCID,Fusco Vincent¹^ORCID,Yurduseven Okan¹^ORCID

Affiliation:

1. Institute of Electronics, Communication and Information Technology, Queen’s University Belfast, Belfast, U.K.

2. Department of Material Characterization and Testing, Fraunhofer Institute for Industrial Mathematics ITWM, Kaiserslautern, Germany

3. XLIM, UMR 7252, University of Limoges, Limoges, France

4. 5G and 6G Innovation Centre (5GIC and 6GIC), Institute for Communication Systems (ICS), University of Surrey, Guildford, U.K.

5. Department of Electronics and Communication Engineering, Tezpur University, Tezpur, India

Funder

Leverhulme Trust through Research Leadership Award

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09521903.pdf?arnumber=9521903

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