logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Compressed Sensing In Radar Signal Processing Antonio De Maio

  • SKU: BELL-10653460
Compressed Sensing In Radar Signal Processing Antonio De Maio
$ 31.00 $ 45.00 (-31%)

0.0

0 reviews

Compressed Sensing In Radar Signal Processing Antonio De Maio instant download after payment.

Publisher: Cambridge University Press
File Extension: PDF
File size: 14.61 MB
Pages: 357
Author: Antonio De Maio, Yonina C.Eldar, Alexander M. Haimovich
ISBN: 9781108428293, 1108428290
Language: English
Year: 2020

Product desciption

Compressed Sensing In Radar Signal Processing Antonio De Maio by Antonio De Maio, Yonina C.eldar, Alexander M. Haimovich 9781108428293, 1108428290 instant download after payment.

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.

Related Products