[PDF][PDF] Gabor transform, spwvd, gabor-wigner transform and wavelet transform-tools for power quality monitoring
The one-dimension frequency analysis based on DFT (Discrete FT) is sufficient in many
cases in detecting power disturbances and evaluating power quality (PQ). To illustrate in a
more comprehensive manner the character of the signal, time-frequency analyses are
performed. The most common known time-frequency representations (TFR) are spectrogram
(SPEC) and Gabor Transform (GT). However, the method has a relatively low time-frequency
resolution. The other TFR: Discreet Dyadic Wavelet Transform (DDWT), Smoothed Pseudo …
cases in detecting power disturbances and evaluating power quality (PQ). To illustrate in a
more comprehensive manner the character of the signal, time-frequency analyses are
performed. The most common known time-frequency representations (TFR) are spectrogram
(SPEC) and Gabor Transform (GT). However, the method has a relatively low time-frequency
resolution. The other TFR: Discreet Dyadic Wavelet Transform (DDWT), Smoothed Pseudo …
Abstract
The one-dimension frequency analysis based on DFT (Discrete FT) is sufficient in many cases in detecting power disturbances and evaluating power quality (PQ). To illustrate in a more comprehensive manner the character of the signal, time-frequency analyses are performed. The most common known time-frequency representations (TFR) are spectrogram (SPEC) and Gabor Transform (GT). However, the method has a relatively low time-frequency resolution. The other TFR: Discreet Dyadic Wavelet Transform (DDWT), Smoothed Pseudo Wigner-Ville Distribution (SPWVD) and new Gabor-Wigner Transform (GWT) are described in the paper. The main features of the transforms, on the basis of testing signals, are presented.
psjd.icm.edu.pl
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