Compressed Sensing in Radar Signal Processing

Learn about the latest theoretical and practical advances in radar signal processing using tools from compressive sensing.

Über den Autor / die Autorin

Antonio De Maio is a Professor in the Department of Electrical Engineering and Information Technology at the Università degli Studi di Napoli Federico II, and a Fellow of the Institute of Electrical and Electronics Engineers (IEEE).Yonina C. Eldar is a Professor at the Weizmann Institute of Science. She has authored and edited several books, including Sampling Theory: Beyond Bandlimited Systems (Cambridge, 2015) and Compressed Sensing: Theory and Applications (Cambridge, 2012). She is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and Eurasip, and a member of the Israel National Academy of Science and Humanities.Alexander M. Haimovich is a Distinguished Professor in the Department of Electrical and Computer Engineering at the New Jersey Institute of Technology, and a Fellow of the Institute of Electrical and Electronics Engineers (IEEE).

Zusammenfassung

Provides broad and accessible coverage of the latest theoretical and practical advances in radar signal processing using tools from compressive sensing, including clutter rejection, CFAR detection, and adaptive beamforming. It is ideal for researchers, graduate students and industry professionals working in signal processing and radar.

Produktdetails

• Mitarbeit: Yonina C. Eldar (Herausgeber), Antonio De Maio (Herausgeber), Antonio (Universita degli Studi di Napoli 'Federico II') De Maio (Herausgeber), Yonina C. (Weizmann Institute of Science Eldar (Herausgeber), Alexander M. (New Jersey Institute of Technology) Haimovich (Herausgeber), Yonina C Eldar (Herausgeber), Alexander M Haimovich (Herausgeber), Alexander M. Haimovich (Herausgeber), Alexandar M. Haimovich (Herausgeber), Eldar Yonina C. (Herausgeber)
• Autoren: Antonio De Maio, Antonio (Universita Degli Studi DI Napoli De Maio
• Verlag: Cambridge University Press ELT
• Inhalt: Buch
• Produktform: Fester Einband
• Erscheinungsdatum: 31.10.2019
• Thema: Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Informatik
• EAN: 9781108428293
• ISBN: 978-1-108-42829-3
• Anzahl Seiten: 378
• Themen: Radar; TECHNOLOGY & ENGINEERING / Signals & Signal Processing; Signal Processing; Digital signal processing (DSP); Radar technology