Enhancing the reliability of spectral correlation function with distributed computing

Various random time series used in signal processing systems are cyclostationary due to the sinusoidal carriers, pulse trains, periodic motion, or physical phenomenon. The cyclostationarity of the signal could be analysed by using the spectral correlation function (SCF). However, SCF is considered h...

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Main Authors:	Alfaqawi, Mohammed, Chebil, Jalel, Habaebi, Mohamed Hadi, Ramli, Nordin, Mohamad, Hafizal
Format:	Article
Language:	English
Published:	IOP Publishing 2013
Subjects:	TK5101 Telecommunication. Including telegraphy, radio, radar, television
Online Access:	http://irep.iium.edu.my/33975/ http://irep.iium.edu.my/33975/ http://irep.iium.edu.my/33975/ http://irep.iium.edu.my/33975/1/1757-899X_53_1_012093.pdf

id	iium-33975
recordtype	eprints
spelling	iium-339752014-06-19T04:45:40Z http://irep.iium.edu.my/33975/ Enhancing the reliability of spectral correlation function with distributed computing Alfaqawi, Mohammed Chebil, Jalel Habaebi, Mohamed Hadi Ramli, Nordin Mohamad, Hafizal TK5101 Telecommunication. Including telegraphy, radio, radar, television Various random time series used in signal processing systems are cyclostationary due to the sinusoidal carriers, pulse trains, periodic motion, or physical phenomenon. The cyclostationarity of the signal could be analysed by using the spectral correlation function (SCF). However, SCF is considered high complex due to the 2-D functionality and the required long observation time. The SCF could be computed in various methods however there are two methods used in practice such as FFT accumulation method (FAM) and strip spectral correlation algorithm (SSCA). This paper shows the benefit on the complexity and the reliability due to the workload distribution of one processor over different cooperated processors. The paper found that with increasing the reliability of the SCF, the number of the cooperated processors to achieve the half of the maximum complexity will reduce. IOP Publishing 2013-12 Article PeerReviewed application/pdf en http://irep.iium.edu.my/33975/1/1757-899X_53_1_012093.pdf Alfaqawi, Mohammed and Chebil, Jalel and Habaebi, Mohamed Hadi and Ramli, Nordin and Mohamad, Hafizal (2013) Enhancing the reliability of spectral correlation function with distributed computing. IOP Conference Series: Materials Science and Engineering, 53 ( 01209). pp. 1-8. ISSN 1757-8981 http://iopscience.iop.org/1757-899X/53/1/012093 10.1088/1757-899X/53/1/012093
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TK5101 Telecommunication. Including telegraphy, radio, radar, television
spellingShingle	TK5101 Telecommunication. Including telegraphy, radio, radar, television Alfaqawi, Mohammed Chebil, Jalel Habaebi, Mohamed Hadi Ramli, Nordin Mohamad, Hafizal Enhancing the reliability of spectral correlation function with distributed computing
description	Various random time series used in signal processing systems are cyclostationary due to the sinusoidal carriers, pulse trains, periodic motion, or physical phenomenon. The cyclostationarity of the signal could be analysed by using the spectral correlation function (SCF). However, SCF is considered high complex due to the 2-D functionality and the required long observation time. The SCF could be computed in various methods however there are two methods used in practice such as FFT accumulation method (FAM) and strip spectral correlation algorithm (SSCA). This paper shows the benefit on the complexity and the reliability due to the workload distribution of one processor over different cooperated processors. The paper found that with increasing the reliability of the SCF, the number of the cooperated processors to achieve the half of the maximum complexity will reduce.
format	Article
author	Alfaqawi, Mohammed Chebil, Jalel Habaebi, Mohamed Hadi Ramli, Nordin Mohamad, Hafizal
author_facet	Alfaqawi, Mohammed Chebil, Jalel Habaebi, Mohamed Hadi Ramli, Nordin Mohamad, Hafizal
author_sort	Alfaqawi, Mohammed
title	Enhancing the reliability of spectral correlation function with distributed computing
title_short	Enhancing the reliability of spectral correlation function with distributed computing
title_full	Enhancing the reliability of spectral correlation function with distributed computing
title_fullStr	Enhancing the reliability of spectral correlation function with distributed computing
title_full_unstemmed	Enhancing the reliability of spectral correlation function with distributed computing
title_sort	enhancing the reliability of spectral correlation function with distributed computing
publisher	IOP Publishing
publishDate	2013
url	http://irep.iium.edu.my/33975/ http://irep.iium.edu.my/33975/ http://irep.iium.edu.my/33975/ http://irep.iium.edu.my/33975/1/1757-899X_53_1_012093.pdf
first_indexed	2023-09-18T20:49:02Z
last_indexed	2023-09-18T20:49:02Z
_version_	1777409870276853760

Enhancing the reliability of spectral correlation function with distributed computing

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