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Compressive Sensing Based Algorithms for Electronic Defence [electronic resource] / by Amit Kumar Mishra, Ryno Strauss Verster.

By: Mishra, Amit Kumar [author.].
Contributor(s): Verster, Ryno Strauss [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Signals and Communication Technology: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017.Description: X, 184 p. 106 illus., 59 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319467009.Subject(s): Signal processing | Computers, Special purpose | Security systems | Telecommunication | Signal, Speech and Image Processing | Special Purpose and Application-Based Systems | Security Science and Technology | Communications Engineering, NetworksAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access online
Contents:
Introduction -- Electronic Warfare Communication Systems -- Compressive Sensing applied to Electronic Support tasks.
In: Springer Nature eBookSummary: 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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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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