Millimeter- and Submillimeter-Wave Imaging Through Dispersive Hologram and Deep Neural Networks-Reference-Cited by-同舟云学术

Millimeter- and Submillimeter-Wave Imaging Through Dispersive Hologram and Deep Neural Networks

Published:2022-06 Issue:6 Volume:70 Page:3281-3290
ISSN:0018-9480
Container-title:IEEE Transactions on Microwave Theory and Techniques
language:
Short-container-title:IEEE Trans. Microwave Theory Techn.

Author:

Tamminen Aleksi¹^ORCID,Palli Samu-Ville¹^ORCID,Ala-Laurinaho Juha¹^ORCID,Taylor Zachary D.¹

Affiliation:

1. Department of Electronics and Nanoengineering, Aalto University, MilliLab, Espoo, Finland

Funder

Arrays with Deep-Neural-Network Backend for Millimeter-Wave Beamforming Applications (ADENN) Research Project, Academy of Finland, through the ICT 2023 Beyond 5G Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Radiation

Link

http://xplorestaging.ieee.org/ielx7/22/9788475/09761057.pdf?arnumber=9761057

Reference43 articles.

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2. Miscellaneous data on materials for millimetre and submillimetre optics

3. Deconvolutional networks

4. Holograms with neural-network backend for submillimeter-wave beamforming applications

5. A novel neural network based image reconstruction model with scale and rotation invariance for target identification and classification for Active millimetre wave imaging

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