Accurate harmonic source identification using S-transform
In real-time, accuracy, fast analysis and low cost are essential. [...]the limitation of previous analysis techniques can be solved by using signal processing techniques such as fast fourier transform (FFT), spectrogram and S-transform [2]. [...]of the FFT limitation, the spectrogram is presented to...
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Veröffentlicht in: | Telkomnika 2020-10, Vol.18 (5), p.2708-2717 |
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Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | In real-time, accuracy, fast analysis and low cost are essential. [...]the limitation of previous analysis techniques can be solved by using signal processing techniques such as fast fourier transform (FFT), spectrogram and S-transform [2]. [...]of the FFT limitation, the spectrogram is presented to identify the harmonic source location [28]. [...]both its energy location in the time-frequency representation and its resolution can vary with the window selected [29-32]. [...]these signals are analyzed using S-transform due to obtain the signal parameters in time-frequency representation (TFR) plane. |
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ISSN: | 1693-6930 2302-9293 |
DOI: | 10.12928/telkomnika.v18i5.5632 |