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A Methodical Study for Time-Frequency Analysis Model with Experimental Case Study on Chirp Signal
Author(s) -
Qasem Abu AlHaija
Publication year - 2020
Publication title -
international journal of engineering and manufacturing
Language(s) - English
Resource type - Journals
eISSN - 2306-5982
pISSN - 2305-3631
DOI - 10.5815/ijem.2020.03.01
Subject(s) - short time fourier transform , chirp , time–frequency analysis , signal (programming language) , window function , computer science , fourier transform , speech recognition , electronic engineering , algorithm , fourier analysis , mathematics , engineering , telecommunications , physics , optics , radar , spectral density , laser , programming language , mathematical analysis
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.

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