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PIKULA, S.; BENEŠ, P.
Originální název
A New Method for Interference Reduction in the Smoothed Pseudo Wigner-Ville Distribution
Anglický název
Druh
Článek recenzovaný mimo WoS a Scopus
Originální abstrakt
This article presents a new method facilitating interference reduction in the Wigner-Ville distribution, which is used for nonstationary signal analysis, for example in machine condition monitoring. The algorithm is based on multiple Smoothed Pseudo Wigner-Ville distributions: differently smoothed time-frequency planes are compared and, for every point, a cross-term free value is calculated on the basis of optimal smooth estimation. The proposed approach is compared with the Gabor-Wigner transform, the Zhao-Atlas-Marks distribution, and the Choi-Williams distribution. Five time-frequency Gaussian atoms and a bat echolocation chirp are used as the testing signals. The Rényi entropy, the ratio of norms, the Stanković measure, and the mean squared error are used as quantitative measures to demonstrate the promising results of the proposed method.
Anglický abstrakt
Klíčová slova
Wigner-Ville Distribution; Smoothed Pseudo Wigner-Ville Distribution; Reduced Interference; Time-Frequency Distribution; Quantitative measure
Klíčová slova v angličtině
Autoři
Vydáno
02.09.2014
ISBN
1178-5608
Kniha
Proceedings of the 8th International Conference on Sensing Technology
ISSN
Periodikum
International Journal on Smart Sensing and Intelligent Systems
Svazek
2014
Číslo
1
Stát
Nový Zéland
Strany od
599
Strany do
603
Strany počet
5
BibTex
@article{BUT109467, author="Stanislav {Pikula} and Petr {Beneš}", title="A New Method for Interference Reduction in the Smoothed Pseudo Wigner-Ville Distribution", journal="International Journal on Smart Sensing and Intelligent Systems", year="2014", volume="2014", number="1", pages="599--603", issn="1178-5608" }