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Modern Machine Learning Algorithms for Radar and Communications

indgår i Radar serien

Bag om Modern Machine Learning Algorithms for Radar and Communications

"This exciting resource identifies technical challenges, benefits, and directions of Deep Learning (DL) based object classification using radar data (i.e., Synthetic Aperture Radar / SAR and High range resolution Radar / HRR data). An overview of machine learning (ML) theory to include a history, background primer, and example and performance of ML algorithm (i.e., DL method) on video imagery is provided. Radar data with issues of collection, application, and examples for SAR/HRR data and communication signals analysis is also discussed. Practical considerations of deploying such techniques, including performance evaluation, hardware issues, and the future unresolved issues are presented."--Amazon.com

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781630816377
  • Indbinding:
  • Hardback
  • Sideantal:
  • 290
  • Udgivet:
  • 31. juli 2020
  • Udgave:
  • Størrelse:
  • 263x186x25 mm.
  • Vægt:
  • 846 g.
  • Ukendt - mangler pt..

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Beskrivelse af Modern Machine Learning Algorithms for Radar and Communications

"This exciting resource identifies technical challenges, benefits, and directions of Deep Learning (DL) based object classification using radar data (i.e., Synthetic Aperture Radar / SAR and High range resolution Radar / HRR data). An overview of machine learning (ML) theory to include a history, background primer, and example and performance of ML algorithm (i.e., DL method) on video imagery is provided. Radar data with issues of collection, application, and examples for SAR/HRR data and communication signals analysis is also discussed. Practical considerations of deploying such techniques, including performance evaluation, hardware issues, and the future unresolved issues are presented."--Amazon.com

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