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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Format: | Proceeding Paper |
Language: | English English English |
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2013
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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. |
first_indexed | 2024-03-05T23:17:56Z |
format | Proceeding Paper |
id | oai:generic.eprints.org:31943 |
institution | International Islamic University Malaysia |
language | English English English |
last_indexed | 2024-03-05T23:17:56Z |
publishDate | 2013 |
record_format | dspace |
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 |
work_keys_str_mv | AT alfaqawimohammed enhancingthereliabilityofspectralcorrelationfunctionwithdistributedcomputing AT chebiljalel enhancingthereliabilityofspectralcorrelationfunctionwithdistributedcomputing AT habaebimohamedhadi enhancingthereliabilityofspectralcorrelationfunctionwithdistributedcomputing AT ramlinoriah enhancingthereliabilityofspectralcorrelationfunctionwithdistributedcomputing AT mohamadh enhancingthereliabilityofspectralcorrelationfunctionwithdistributedcomputing |