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A New Design Approach to Multi-Octave 2D Omnidirectional Direction-Finding Array With Multi-Band Deep Neural Network Models

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Published in:IEEE Access
Format: Online Article RSS Article
Published: 2026
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container_title IEEE Access
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discipline_display Engineering & Technology
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publishDate 2026
publishDateSort 2026
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spellingShingle A New Design Approach to Multi-Octave 2D Omnidirectional Direction-Finding Array With Multi-Band Deep Neural Network Models
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Computer Science & Information Science
Computer Science & IT
Engineering & Technology
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
subject_facet Computer Science & Information Science
Computer Science & IT
Engineering & Technology
title A New Design Approach to Multi-Octave 2D Omnidirectional Direction-Finding Array With Multi-Band Deep Neural Network Models
title_auth A New Design Approach to Multi-Octave 2D Omnidirectional Direction-Finding Array With Multi-Band Deep Neural Network Models
title_full A New Design Approach to Multi-Octave 2D Omnidirectional Direction-Finding Array With Multi-Band Deep Neural Network Models
title_fullStr A New Design Approach to Multi-Octave 2D Omnidirectional Direction-Finding Array With Multi-Band Deep Neural Network Models
title_full_unstemmed A New Design Approach to Multi-Octave 2D Omnidirectional Direction-Finding Array With Multi-Band Deep Neural Network Models
title_short A New Design Approach to Multi-Octave 2D Omnidirectional Direction-Finding Array With Multi-Band Deep Neural Network Models
title_sort a new design approach to multi-octave 2d omnidirectional direction-finding array with multi-band deep neural network models
topic Computer Science & Information Science
Computer Science & IT
Engineering & Technology
url http://ieeexplore.ieee.org/document/11407941