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Compressed Sensing in Radar Signal Processing

Compressed Sensing in Radar Signal Processing

Antonio De Maio, Yonina C. Eldar, Alexander M. Haimovich

Cambridge University Press
Publication date : 2019-10-17

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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. Each chapter includes coverage of theoretical principles, a detailed review of current knowledge, and discussion of key applications, and also highlights the potential benefits of using compressed sensing algorithms. A unified notation and numerous cross-references between chapters make it easy to explore different topics side by side. Written by leading experts from both academia and industry, this is the ideal text for researchers, graduate students and industry professionals working in signal processing and radar.

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About the book

Author

Antonio De Maio , Yonina C. Eldar , Alexander M. Haimovich

Imprint

Cambridge University Press

Collection

n.c

Publication date

2019-10-17

Pages

n.c

Print ISBN

9781108428293

Language

English

Ebook informations

EAN PDF

9781108559072

Price

£121.32

Copy count 0

Print count 0

File size 16763 Ko

Informations accessibility

EAN EPUB

9781108576949

Price

£121.32

Copy count 0

Print count 0

File size 22067 Ko

Informations accessibility

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About author(s)

Antonio De Maio

Yonina C. Eldar

Alexander M. Haimovich

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