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Publication detail
PIKULA, S. BENEŠ, P.
Original Title
A New Method for Interference Reduction in the Smoothed Pseudo Wigner-Ville Distribution
Type
journal article - other
Language
English
Original Abstract
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.
Keywords
Wigner-Ville Distribution; Smoothed Pseudo Wigner-Ville Distribution; Reduced Interference; Time-Frequency Distribution; Quantitative measure
Authors
PIKULA, S.; BENEŠ, P.
RIV year
2014
Released
2. 9. 2014
ISBN
1178-5608
Book
Proceedings of the 8th International Conference on Sensing Technology
Periodical
International Journal on Smart Sensing and Intelligent Systems
Year of study
Number
1
State
New Zealand
Pages from
599
Pages to
603
Pages count
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" }