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

This 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 opt...

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Main Authors: Omar S.F., Yussof S., Islam T.
Other Authors: 54790064100
Format: Article
Published: 2023
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spelling my.uniten.dspace-304662023-12-29T15:48:11Z Finding the optimum level of wavelet decomposition for reducing noise in wireless communication Omar S.F. Yussof S. Islam T. 54790064100 16023225600 55328836300 Noise reduction Optimum level Wavelet decomposition Wireless communication This 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. Final 2023-12-29T07:48:11Z 2023-12-29T07:48:11Z 2011 Article 2-s2.0-84155185275 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84155185275&partnerID=40&md5=5cd6ae9cb0aa25a984eaae939ef41fdd https://irepository.uniten.edu.my/handle/123456789/30466 5 11 1212 1217 Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Noise reduction
Optimum level
Wavelet decomposition
Wireless communication
spellingShingle Noise reduction
Optimum level
Wavelet decomposition
Wireless communication
Omar S.F.
Yussof S.
Islam T.
Finding the optimum level of wavelet decomposition for reducing noise in wireless communication
description This 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.
author2 54790064100
author_facet 54790064100
Omar S.F.
Yussof S.
Islam T.
format Article
author Omar S.F.
Yussof S.
Islam T.
author_sort Omar S.F.
title Finding the optimum level of wavelet decomposition for reducing noise in wireless communication
title_short Finding the optimum level of wavelet decomposition for reducing noise in wireless communication
title_full Finding the optimum level of wavelet decomposition for reducing noise in wireless communication
title_fullStr Finding the optimum level of wavelet decomposition for reducing noise in wireless communication
title_full_unstemmed Finding the optimum level of wavelet decomposition for reducing noise in wireless communication
title_sort finding the optimum level of wavelet decomposition for reducing noise in wireless communication
publishDate 2023
_version_ 1806428451996958720
score 13.235362