@ARTICLE{Ajab_Muhammad_Comparative_2012,
 author={Ajab, Muhammad and Taj, Imtiaz Ahmad and Khan, Nabeel Ali},
 number={No 3},
 journal={Metrology and Measurement Systems},
 pages={499-508},
 howpublished={online},
 year={2012},
 publisher={Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation},
 abstract={Gabor Wigner Transform (GWT) is a composition of two time-frequency planes (Gabor Transform (GT) and Wigner Distribution (WD)), and hence GWT takes the advantages of both transforms (high resolution of WD and cross-terms free GT). In multi-component signal analysis where GWT fails to extract auto-components, the marriage of signal processing and image processing techniques proved their potential to extract autocomponents. The proposed algorithm maintained the resolution of auto-components. This work also shows that the Fractional Fourier Transform (FRFT) domain is a powerful tool for signal analysis. Performance analysis of modified fractional GWT reveals that it provides a solution of cross-terms of WD and blurring of GT.},
 type={Artykuły / Articles},
 title={Comparative analysis of variants of Gabor-Wigner transform for cross-term reduction},
 URL={http://www.czasopisma.pan.pl/Content/89959/PDF/Journal10178-VolumeXIXIssue3_07.pdf},
 doi={10.2478/v10178-012-0043-6},
 keywords={Wigner Distribution, Gabor Transform, Gabor Wigner Transform, Fractional Fourier Transform},
}