Deep Learning for Radar and Communications Automatic Target RecognitionКНИГИ » ПРОГРАММИНГ
Название: Deep Learning for Radar and Communications Automatic Target Recognition Автор: Uttam K. Majumder, Erik P. Blasch, David A. Garren Издательство: Artech House Год: 2020 Формат: True PDF Страниц: 313 Размер: 10 Mb Язык: English
This authoritative resource presents a comprehensive illustration of modern Artificial Intelligence / Machine Learning (AI/ML) technology for radio frequency (RF) data exploitation. It identifies technical challenges, benefits, and directions of deep learning (DL) based object classification using radar data, including synthetic aperture radar (SAR) and high range resolution (HRR) radar. The performance of AI/ML algorithms is provided from an overview of machine learning (ML) theory that includes history, background primer, and examples. Radar data issues of collection, application, and examples for SAR/HRR data and communication signals analysis are discussed. In addition, this book presents practical considerations of deploying such techniques, including performance evaluation, energy-efficient computing, and the future unresolved issues.
Deep Neural Network Design for Radar Applications Название: Deep Neural Network Design for Radar Applications Автор: Edited by Sevgi Zubeyde Gurbuz Издательство: SciTech Publishing Год: 2021 Формат:...
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Deep Learning for Radar and Communications Automatic Target Recognition 
