Data for: Spectrum Sensing with a Parallel Algorithm for Cyclostationary Feature Extraction

Published: 2 August 2018| Version 1 | DOI: 10.17632/n92996yz3m.1
Contributors:
Arthur Lima,
Luiz Felipe de Queiroz Silveira,
Samuel Xavier-de-Souza

Description

Cyclostationary feature detection is one of the most common methods used in spectrum sensing. The parallel algorithm presented here can be used in multi-core processors to speedup the execution time. The implementation uses OpenMP and the Fastest Fourier Transform in the West (a efficient Fourier transform method).

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Categories

Parallel Processing, Sensing Mechanisms

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