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Finding the optimum level of wavelet decomposition for reducing noise in wireless communication

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dc.citedby3
dc.contributor.authorOmar S.F.en_US
dc.contributor.authorYussof S.en_US
dc.contributor.authorIslam T.en_US
dc.contributor.authorid54790064100en_US
dc.contributor.authorid16023225600en_US
dc.contributor.authorid55328836300en_US
dc.date.accessioned2023-12-29T07:48:11Z
dc.date.available2023-12-29T07:48:11Z
dc.date.issued2011
dc.description.abstractThis paper presents an experiment to find the optimum level of wavelet decomposition for time-frequency analysis in wireless communications. Wavelet decomposition is used in many applications to reduce noise in transmitted signals in wireless communications. However, there are problems to obtain optimum level of wavelet decomposition for reducing noise in practice. This work is shown in the design of finding optimum level of wavelet decomposition including signal to noise ratio (SNR) in computers based simulations. Numerical results obtained from analysis and simulations shows how very good performance is obtained with optimum level of wavelet decomposition. The model of finding optimum wavelet decomposition has the advantages of flexibility, efficiency, and accuracy of using wavelet transformation in wireless communications.en_US
dc.description.natureFinalen_US
dc.identifier.epage1217
dc.identifier.issue11
dc.identifier.scopus2-s2.0-84155185275
dc.identifier.spage1212
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84155185275&partnerID=40&md5=5cd6ae9cb0aa25a984eaae939ef41fdd
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30466
dc.identifier.volume5
dc.pagecount5
dc.sourceScopus
dc.sourcetitleAustralian Journal of Basic and Applied Sciences
dc.subjectNoise reduction
dc.subjectOptimum level
dc.subjectWavelet decomposition
dc.subjectWireless communication
dc.titleFinding the optimum level of wavelet decomposition for reducing noise in wireless communicationen_US
dc.typeArticleen_US
dspace.entity.typePublication
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