Pregled bibliografske jedinice broj: 1063996
An improved smooth-windowed wigner-ville distribution analysis for voltage variation signal
An improved smooth-windowed wigner-ville distribution analysis for voltage variation signal // International Journal of Electrical and Computer Engineering, 10 (2020), 5; 4982-4991 doi:10.11591/ijece.v10i5 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1063996 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
An improved smooth-windowed wigner-ville
distribution analysis for voltage variation
signal
Autori
Mustafa, Manap ; Abdul, Rahim, Abdullah ; Nikolovski, Srete ; Tole Sutikno , Mohd Hatta Jopri
Izvornik
International Journal of Electrical and Computer Engineering (2088-8708) 10
(2020), 5;
4982-4991
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Kernel parameters, Smooth-windowed wigner-ville distribution. Voltage variation signal
Sažetak
This paper outlines research conducted using bilinear time-frequency distribution (TFD), a smooth-windowed wigner-ville distribution (SWWVD) used to represent time-varying signals in time- frequency representation (TFR). Good time and frequency resolutions offer superiority in SWWVD to analyze voltage variation signals that consist of variations in magnitude. The separable kernel parameters are estimated from the signal in order to get an accurate TFR. The TFR for various kernel parameters is compared by a set of performance measures. The evaluation shows that different kernel settings are required for different signal parameters. Verification of the TFD that operated at optimal kernel parameters is then conducted. SWWVD exhibits a good performance of TFR which gives high peak-to-side lobe ratio (PSLR) and signal-to-cross-terms ratio (SCR) accompanied by low main-lobe width (MLW) and absolute percentage error (APE). This proved that the technique is appropriate for voltage variation signal analysis and it essential for development in an advanced embedded system.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek
Profili:
Srete Nikolovski
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Scopus