Fuzzy expert system for automatic wavelet shrinkage procedure selection for noise suppression

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Signal processing is an indispensable issue of several technical areas. Wavelet shrinkage, i.e. thresholding in the wavelet coefficient domain, has been successfully used for signal and image noise removal problems. Although, the selection of the suitable wavelet threshold procedure is still a challenging task, because the applied method has significant impact on the result. Furthermore, the specific choice of wavelet, decomposition level and threshold rule, etc., allows a wide variability of the shrinkage method. This paper presents a new supervisory fuzzy expert system for automatic wavelet shrinkage method selection for noise suppression of unknown signals. Simulation results show efficient performance of the system.

Original languageEnglish
Title of host publicationINES 2014 - IEEE 18th International Conference on Intelligent Engineering Systems, Proceedings
EditorsAniko Szakal
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages163-168
Number of pages6
ISBN (Electronic)9781479946150
DOIs
Publication statusPublished - Sep 24 2014
Event18th IEEE International Conference on Intelligent Engineering Systems, INES 2014 - Tihany, Hungary
Duration: Jul 3 2014Jul 5 2014

Publication series

NameINES 2014 - IEEE 18th International Conference on Intelligent Engineering Systems, Proceedings

Other

Other18th IEEE International Conference on Intelligent Engineering Systems, INES 2014
CountryHungary
CityTihany
Period7/3/147/5/14

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Applied Mathematics
  • Theoretical Computer Science

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  • Cite this

    Dineva, A., Várkonyi-Kóczy, A. R., & Tar, J. K. (2014). Fuzzy expert system for automatic wavelet shrinkage procedure selection for noise suppression. In A. Szakal (Ed.), INES 2014 - IEEE 18th International Conference on Intelligent Engineering Systems, Proceedings (pp. 163-168). [6909361] (INES 2014 - IEEE 18th International Conference on Intelligent Engineering Systems, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INES.2014.6909361