
Compressed Sensing in Radar Signal Processing
$376.11
- Hardcover
378 pages
- Release Date
17 October 2019
Summary
Radar Signal Processing with Compressed Sensing: A Modern Approach
Learn about the most recent theoretical and practical advances in radar signal processing using tools and techniques from compressive sensing. Providing a broad perspective that fully demonstrates the impact of these tools, the accessible and tutorial-like chapters cover topics such as clutter rejection, CFAR detection, adaptive beamforming, random arrays for radar, space-time adaptive processing, and MIMO radar.
…Book Details
ISBN-13: | 9781108428293 |
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ISBN-10: | 1108428290 |
Author: | Antonio De Maio, Yonina C. Eldar, Alexander M. Haimovich |
Publisher: | Cambridge University Press |
Imprint: | Cambridge University Press |
Format: | Hardcover |
Number of Pages: | 378 |
Release Date: | 17 October 2019 |
Weight: | 890g |
Dimensions: | 253mm x 178mm x 21mm |
About The Author
Antonio De Maio
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).
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