Time-Frequency Analysis Of Heart Sounds Using Windowed And Smooth Windowed Wigner-Ville Distribution
Heart sounds and murmurs are time-varying signals that would best be analyzed using time-frequency analysis. Windowed Wigner-Ville distribution (WWVD) and smooth windowed Wigner-Ville distribution (SWWVD) are used to obtain the timefiequency representation (TFR) of the signal. Determination of par...
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my.utm.20022017-09-10T05:30:12Z http://eprints.utm.my/id/eprint/2002/ Time-Frequency Analysis Of Heart Sounds Using Windowed And Smooth Windowed Wigner-Ville Distribution Daliman, Shaparas Sha'ameri, Ahmad Zuri TK Electrical engineering. Electronics Nuclear engineering Heart sounds and murmurs are time-varying signals that would best be analyzed using time-frequency analysis. Windowed Wigner-Ville distribution (WWVD) and smooth windowed Wigner-Ville distribution (SWWVD) are used to obtain the timefiequency representation (TFR) of the signal. Determination of parameter setting of WWVD and SWWVD will eliminate the cross-terms and improve TFR. The accuracy of TFR will be determined based on the maiulohe width and signal-to-interference ratio. It is found that the most accurate TFR can be achieved using SWWVD. 2003 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/2002/1/article177.pdf Daliman, Shaparas and Sha'ameri, Ahmad Zuri (2003) Time-Frequency Analysis Of Heart Sounds Using Windowed And Smooth Windowed Wigner-Ville Distribution. Signal Processing and Its Applications, 2003. Proceedings. Seventh International Symposium on . pp. 625-626. |
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TK Electrical engineering. Electronics Nuclear engineering Daliman, Shaparas Sha'ameri, Ahmad Zuri Time-Frequency Analysis Of Heart Sounds Using Windowed And Smooth Windowed Wigner-Ville Distribution |
description |
Heart sounds and murmurs are time-varying signals that
would best be analyzed using time-frequency analysis.
Windowed Wigner-Ville distribution (WWVD) and smooth windowed Wigner-Ville distribution (SWWVD) are used to obtain the timefiequency representation (TFR) of the signal. Determination of parameter setting of WWVD and SWWVD will eliminate the cross-terms and improve TFR. The accuracy of TFR will be determined based on the maiulohe width and signal-to-interference ratio. It is found that the most accurate TFR can be achieved using SWWVD. |
format |
Article |
author |
Daliman, Shaparas Sha'ameri, Ahmad Zuri |
author_facet |
Daliman, Shaparas Sha'ameri, Ahmad Zuri |
author_sort |
Daliman, Shaparas |
title |
Time-Frequency Analysis Of Heart Sounds Using Windowed And Smooth Windowed Wigner-Ville Distribution
|
title_short |
Time-Frequency Analysis Of Heart Sounds Using Windowed And Smooth Windowed Wigner-Ville Distribution
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title_full |
Time-Frequency Analysis Of Heart Sounds Using Windowed And Smooth Windowed Wigner-Ville Distribution
|
title_fullStr |
Time-Frequency Analysis Of Heart Sounds Using Windowed And Smooth Windowed Wigner-Ville Distribution
|
title_full_unstemmed |
Time-Frequency Analysis Of Heart Sounds Using Windowed And Smooth Windowed Wigner-Ville Distribution
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title_sort |
time-frequency analysis of heart sounds using windowed and smooth windowed wigner-ville distribution |
publishDate |
2003 |
url |
http://eprints.utm.my/id/eprint/2002/1/article177.pdf http://eprints.utm.my/id/eprint/2002/ |
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13.211869 |