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Compressive sensing based algorithms for electronic defence / Amit Kumar Mishra, Ryno Strauss Verster.

By: Mishra, Amit Kumar,, autor
Contributor(s): Verster, Ryno Strauss,, autor
Material type: materialTypeLabelE-bookSeries: (Signals and communication technology, 1860-4862).Publisher: Cham : Springer, 2017Description: 1 recurso en línea.ISBN: 331946700X; 9783319467009.Subject: Sistemas linealesOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Introduction -- Electronic Warfare Communication Systems -- Compressive Sensing applied to Electronic Support tasks.
Abstract: This book details some of the major developments in the implementation of compressive sensing in radio applications for electronic defense and warfare communication use. It provides a comprehensive background to the subject and at the same time describes some novel algorithms. It also investigates application value and performance-related parameters of compressive sensing in scenarios such as direction finding, spectrum monitoring, detection, and classification.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería TK5102.9 M574 2017 EB (Browse shelf(Opens below)) Acceso electrónico eBook.20022697
Total holds: 0

SpringerLink Springer Engineering eBooks 2017 English+International

Incluye referencias bibliográficas

Introduction -- Electronic Warfare Communication Systems -- Compressive Sensing applied to Electronic Support tasks.

This book details some of the major developments in the implementation of compressive sensing in radio applications for electronic defense and warfare communication use. It provides a comprehensive background to the subject and at the same time describes some novel algorithms. It also investigates application value and performance-related parameters of compressive sensing in scenarios such as direction finding, spectrum monitoring, detection, and classification.

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