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01507 am a22001453u 4500 |
| 001 |
1991 |
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|a dc
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|a Sha'ameri, Ahmad Zuri
|e author
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|a Salleh, Sh-Hussain
|e author
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|a Window Width Estimation And The Application Of The Windowed Wigner-Ville Distribution In The Analysis Of Heart Sounds And Murmurs
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|c 2000-09-24.
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| 856 |
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|z Get fulltext
|u http://eprints.utm.my/id/eprint/1991/1/AZuri2000_WindowWidthEstimationandtheApplication.pdf
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|a This paper looks at the analysis of heart sounds and murmur using time-frequency signal analysis. The techniques used are the Wigner-Ville distribution (WVD) and windowed Wigner-Ville distribution (WWVD) that belonged to the bilinear class of time-frequency distribution. These techniques developed to provide high-resolution time-frequency representation for time-varying signals. Due the nonlinear operation involved, interference terms are introduced in the time-frequency representation. The signals of interest are modeled as multicomponent signals and the characteristics of the signal in time-lag plane are observed. From the time-lag plane, the interference components are identified, and the appropriate window width is selected in the WWVD to remove the interference. Analysis results show that WWVD produces more accurate time-frequency representation compared to the WVD and the signal-to-interference is used to quantify the improvement
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|a en
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|a TK Electrical engineering. Electronics Nuclear engineering
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