Optimized Hybrid Feature Selection Algorithm : For Primary User Detection in Spectrum Sensing

Language: English

Published by LAP LAMBERT Academic Publishing, 2022

6205527898 / 9786205527894

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - The need for the spectrum access is increasing day by day as the users are developing more interest for the utilization of the spectrum technique. But as a design issue the range of the spectrum cannot be enhanced with the need of the users and area. Hence the researchers have found the path of direction in the ideal strategy of the usage of secondary users for the spectrum in the absence of the primary users. Hence in this process, a new technique has been raised termed as the spectrum sensing for the identity of primary users with plenty of techniques and technologies, one of device used for the process of identification is the Cognitive Radio. The sensing of the spectrum criteria also involves the gathering of the signal features from the spectrum with its threshold optimized depending on the received values. Upon the detection of the threshold values the spectrum can sense the presence of the user as primary or not. The techniques that are involved in spectrum sensing are energy detection, matched filtering, correlation, etc. …

Seller Inventory # 9786205527894

Title
Optimized Hybrid Feature Selection Algorithm : For Primary User Detection in Spectrum Sensing
Author
S. Shiyamala
Publisher
LAP LAMBERT Academic Publishing
Publication year
2022
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6205527898
ISBN 13
9786205527894
Item weight
471 grams
Dimensions
220x150x19 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

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