@ARTICLE{Mroczka_Janusz_Gabor_2010,
 author={Mroczka, Janusz and Szmajda, Mirosław and Górecki, Krzysztof},
 number={No 3},
 journal={Metrology and Measurement Systems},
 pages={383-396},
 howpublished={online},
 year={2010},
 publisher={Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation},
 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.},
 type={Artykuły / Articles},
 title={Gabor Transform, SPWVD, Gabor-Wigner Transform and Wavelet Transform - Tools For Power Quality Monitoring},
 URL={http://journals.pan.pl/Content/107066/PDF/Journal10178-VolumeXVII%20Issue3_06%20paper.pdf},
 doi={10.2478/v10178-010-0032-6},
 keywords={Discreet Dyadic Wavelet Transform (DDWT), Gabor-Wigner Transform (GWT), Multiresolution Analysis (MRA), Power Quality (PQ), Smoothed Pseudo Wigner-Ville Distribution (SPWVD)},
}