Enhancing the reliability of spectral correlation function with distributed computing

Many 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, it is considered high...

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Main Authors: Alfaqawi, Mohammed, Chebil, Jalel, Habaebi, Mohamed Hadi, Ramli , Noriah, Mohamad, H.
Format: Proceeding Paper
Language:English
English
English
Published: 2013
Subjects:
Online Access:http://irep.iium.edu.my/31943/1/2188.pdf
http://irep.iium.edu.my/31943/4/image002.png
http://irep.iium.edu.my/31943/5/icomabstracts.pdf
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author Alfaqawi, Mohammed
Chebil, Jalel
Habaebi, Mohamed Hadi
Ramli , Noriah
Mohamad, H.
author_facet Alfaqawi, Mohammed
Chebil, Jalel
Habaebi, Mohamed Hadi
Ramli , Noriah
Mohamad, H.
author_sort Alfaqawi, Mohammed
collection IIUM
description Many 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, it 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 investigates the advantage on the complexity and the reliability by distributing the workload of one processor on 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.
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spelling oai:generic.eprints.org:319432013-10-04T01:38:14Z http://irep.iium.edu.my/31943/ Enhancing the reliability of spectral correlation function with distributed computing Alfaqawi, Mohammed Chebil, Jalel Habaebi, Mohamed Hadi Ramli , Noriah Mohamad, H. TK5101 Telecommunication. Including telegraphy, radio, radar, television Many 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, it 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 investigates the advantage on the complexity and the reliability by distributing the workload of one processor on 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. 2013-07-02 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/31943/1/2188.pdf application/pdf en http://irep.iium.edu.my/31943/4/image002.png application/pdf en http://irep.iium.edu.my/31943/5/icomabstracts.pdf Alfaqawi, Mohammed and Chebil, Jalel and Habaebi, Mohamed Hadi and Ramli , Noriah and Mohamad, H. (2013) Enhancing the reliability of spectral correlation function with distributed computing. In: 5th International Conference on Mechatronics (ICOM'13), 2 – 4 July 2013, Kuala Lumpur, Malaysia.
spellingShingle TK5101 Telecommunication. Including telegraphy, radio, radar, television
Alfaqawi, Mohammed
Chebil, Jalel
Habaebi, Mohamed Hadi
Ramli , Noriah
Mohamad, H.
Enhancing the reliability of spectral correlation function with distributed computing
title 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_short Enhancing the reliability of spectral correlation function with distributed computing
title_sort enhancing the reliability of spectral correlation function with distributed computing
topic TK5101 Telecommunication. Including telegraphy, radio, radar, television
url http://irep.iium.edu.my/31943/1/2188.pdf
http://irep.iium.edu.my/31943/4/image002.png
http://irep.iium.edu.my/31943/5/icomabstracts.pdf
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AT habaebimohamedhadi enhancingthereliabilityofspectralcorrelationfunctionwithdistributedcomputing
AT ramlinoriah enhancingthereliabilityofspectralcorrelationfunctionwithdistributedcomputing
AT mohamadh enhancingthereliabilityofspectralcorrelationfunctionwithdistributedcomputing