Deep Neural Network Design for Radar Applications /

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Bibliographic Details
Imprint:	Stevenage : Institution of Engineering & Technology, 2021.
Description:	1 online resource (419 p.).
Language:	English
Series:	IEE radar, sonar, navigation, and avionics series IEE radar, sonar, navigation, and avionics series.
Subject:	Radar. Machine learning. Neural networks (Computer science) Remote sensing. Doppler radar. Doppler radar. Machine learning. Neural networks (Computer science) Radar. Remote sensing.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/12873895

Hidden Bibliographic Details
Other authors / contributors:	Gurbuz, Sevgi Zubeyde.
ISBN:	1785618539 9781785618536
Notes:	Description based upon print version of record.
Summary:	Novel deep learning models are achieving state-of-the-art accuracy in the area of radar target recognition, sometimes exceeding human-level performance. The book provides an introduction to the key aspects of machine learning that any radar engineer seeking to apply deep learning to radar signal processing ought to be aware of.
Other form:	Print version: Gurbuz, Sevgi Zubeyde Deep Neural Network Design for Radar Applications Stevenage : Institution of Engineering & Technology,c2021 9781785618529

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