A Methodical Study for Time-Frequency Analysis Model with Experimental Case Study on Chirp Signal
Автор: Qasem Abu Al-Haija
Журнал: International Journal of Engineering and Manufacturing @ijem
Статья в выпуске: 3 vol.10, 2020 года.
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In this paper, we are reporting on the comprehensive model design for time-frequency analysis system using Short-Time Fourier Transform (STFT) and Wigner-Ville Distribution (WVD) methods. As a case study, both STFT and WVD based time-frequency transforms have been developed via MATLAB platform and applied for both Chirp and Sunspot signals. The developed model considers the use of hamming moving window of length L=50 with 90% overlapping between the current and previous window positions. The simulation results showed that WVD is more accurate method for time and frequency analysis than STFT since it can provide simultaneous localization in both time and frequency with higher resolution than STFT which can only provide localization in either time or frequency at the same time. Also, the applied techniques provide an adequate distribution of time-frequency analysis only if they used with a non-stationary signal such as Chirp signal.
Chirp Signal, Sunspot Signal, time-frequency Analysis, Short-Time Fourier transform (STFT), Wigner-Ville distribution (WVD), Hamming Window, non-stationary signals
Короткий адрес: https://sciup.org/15017304
IDR: 15017304 | DOI: 10.5815/ijem.2020.03.01
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