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Using fuzzy logic to optimise the selection of mother wavelets

Data publikacji: 22.03.2018

Czasopismo Techniczne, 2018, Volume 3 Year 2018 (115), s. 107 - 114

https://doi.org/10.4467/2353737XCT.18.040.8302

Autorzy

,
Ilona Lagun
Department of Computer Systems and Automatic, Lviv Polytechnic National University, Ukraine
Wszystkie publikacje autora →
,
Adrian Nakonechnyy
Department of Computer Systems and Automatic, Lviv Polytechnic National University, Ukraine
Wszystkie publikacje autora →
Volodymyr Samotyy
Department of Automatic Control and Information Technology, Faculty of Electrical and Computer Engineering, Cracow University of Technology; Department of Computerized Automatic Systems, Lviv Polytechnic National University
Wszystkie publikacje autora →

Tytuły

Using fuzzy logic to optimise the selection of mother wavelets

Abstrakt

The effectiveness of signal processing using discrete wavelet transformation depends on the correct choice of basic wavelet function. A model of multi-criteria optimisation of selection of wavelet function was
developed based on fuzzy logic. An experimental study of the model was carried out for the most common types of signals selected from the MATLAB database package.

Bibliografia

[1] Ahuja N., Lertrattanapanich S., Bose N.K., Properties determining choice of mother wavelet, IEE Proceedings – Vision, Image and Signal Processing, Vol. 152, 2005, 659–664 .
[2] Al-Qazzaz N.K., Bin Mohd Ali S.H., Ahmad S.A., Islam M.S., Escudero J., Selection of Mother Wavelet Functions for Multi-Channel EEG Signal Analysis during a Working Memory Task, Sensors, 2015, 15, 29015–29035.
[3] De Moortel I., Munday S.A., Hood A.W., Wavelet Analysis: the effect of varying basic wavelet parameters, Solar Physics, Vol. 222, 2004, 203–228.
[4] Chong E.K.P., Zak S.H., An Introduction to Optimization, 4th Edition, John Wiley & Sons, 2013.
[5] Hao Ying, Fuzzy Control and Modeling: Analytical Foundations and Applications, Wiley-IEEE Press, 2000.
[6] Kapil Tajane, Rahul Pitale, Jayant Umale, Comparative Analysis of Mother Wavelet Functions with the ECG Signals, Journal of Engineering Research and Applications, Vol. 4, 2014, 38–41.
[7] Lagun I., Nakonechny A. Selection of wavelet basis for the effectiveness processing of signals, Vestnik Brestskogo gosudarstvennogo tekhnicheskogo universiteta, No. 5, 2016, 69–73.
[8] Mallat S., Wavelet tour of signal processing, Third edition: The Sparse Way, 2008.
[9] Navdeep Goel, Gurwinder Singh, Study of Wavelet Functions of Discrete Wavelet Transformation in Image Watermarking, An International Journal of Engineering Sciences, Vol. 17, 2016, 154–160.
[10] Rafiee J., Rafiee M.A., Tse P.W., Application of mother wavelet functions for automatic gear and bearing fault diagnosis, Expert Systems with Applications,
Vol. 37, 2010, 4568–4579.
[11] Reiner Horst, Tuy Hoang, Global Optimization: Deterministic Approaches, 3rd edition, Springer-Verlag GmbH, 1996.
[12] Thomas Weise, Global optimization algorithms: theory and application, 3nd Edition, Thomas Weise, 2011.
[13] Zaid Abdi Alkareem Alyasseri, Ahamad Tajudin Khader, Mohammed Azmi Al-Betar, Electroencephalogram Signals Denoising using Various Mother Wavelet Functions: A Comparative Analysis, Proceedings of the International Conference on Imaging, Signal Processing and Communication, At Penang, Malaysia, October 27, 2017, 100–105.
 

Informacje

Informacje: Czasopismo Techniczne, 2018, Volume 3 Year 2018 (115), s. 107 - 114

Typ artykułu: Oryginalny artykuł naukowy

Tytuły:

Polski:

Using fuzzy logic to optimise the selection of mother wavelets

Angielski:

Using fuzzy logic to optimise the selection of mother wavelets

Autorzy

Department of Computer Systems and Automatic, Lviv Polytechnic National University, Ukraine

Department of Computer Systems and Automatic, Lviv Polytechnic National University, Ukraine

Department of Automatic Control and Information Technology, Faculty of Electrical and Computer Engineering, Cracow University of Technology; Department of Computerized Automatic Systems, Lviv Polytechnic National University

Publikacja: 22.03.2018

Status artykułu: Otwarte __T_UNLOCK

Licencja: Żadna

Udział procentowy autorów:

Ilona Lagun (Autor) - 33%
Adrian Nakonechnyy (Autor) - 33%
Volodymyr Samotyy (Autor) - 34%

Korekty artykułu:

-

Języki publikacji:

Angielski

Liczba wyświetleń: 1514

Liczba pobrań: 947

<p> Using fuzzy logic to optimise the selection of mother wavelets</p>