A Review of the State of the Art and Future Challenges of Deep Learning-Based Beamforming-Reference-Cited by-同舟云学术

A Review of the State of the Art and Future Challenges of Deep Learning-Based Beamforming

Published:2022 Issue: Volume:10 Page:80869-80882
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Kassir Haya Al¹^ORCID,Zaharis Zaharias D.¹^ORCID,Lazaridis Pavlos I.²^ORCID,Kantartzis Nikolaos V.¹^ORCID,Yioultsis Traianos V.¹^ORCID,Xenos Thomas D.¹

Affiliation:

1. School of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece

2. School of Computing and Engineering, University of Huddersfield, Huddersfield, U.K.

Funder

European Commission

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09845394.pdf?arnumber=9845394

Reference121 articles.

1. Frequency map selection using a RBFN-based classifier in the MVDR beamformer for speaker localization in reverberant rooms

2. A weighted MVDR beamformer based on SVM learning for sound source localization

3. AI-Aided 3-D Beamforming for Millimeter Wave Communications

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