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

Adrienn Dineva, A. Várkonyi-Kóczy, J. Tar

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

3 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
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages163-168
Number of pages6
ISBN (Print)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

Other

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

Fingerprint

Fuzzy Expert System
Wavelet Shrinkage
Noise Suppression
Selection Procedures
Expert systems
Noise Removal
Wavelet decomposition
Wavelet Decomposition
Wavelet Coefficients
Thresholding
Shrinkage
Signal Processing
Signal processing
Wavelets
Unknown
Simulation

ASJC Scopus subject areas

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

Cite this

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

Fuzzy expert system for automatic wavelet shrinkage procedure selection for noise suppression. / Dineva, Adrienn; Várkonyi-Kóczy, A.; Tar, J.

INES 2014 - IEEE 18th International Conference on Intelligent Engineering Systems, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. p. 163-168 6909361.

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

Dineva, A, Várkonyi-Kóczy, A & Tar, J 2014, Fuzzy expert system for automatic wavelet shrinkage procedure selection for noise suppression. in INES 2014 - IEEE 18th International Conference on Intelligent Engineering Systems, Proceedings., 6909361, Institute of Electrical and Electronics Engineers Inc., pp. 163-168, 18th IEEE International Conference on Intelligent Engineering Systems, INES 2014, Tihany, Hungary, 7/3/14. https://doi.org/10.1109/INES.2014.6909361
Dineva A, Várkonyi-Kóczy A, Tar J. Fuzzy expert system for automatic wavelet shrinkage procedure selection for noise suppression. In INES 2014 - IEEE 18th International Conference on Intelligent Engineering Systems, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2014. p. 163-168. 6909361 https://doi.org/10.1109/INES.2014.6909361
Dineva, Adrienn ; Várkonyi-Kóczy, A. ; Tar, J. / Fuzzy expert system for automatic wavelet shrinkage procedure selection for noise suppression. INES 2014 - IEEE 18th International Conference on Intelligent Engineering Systems, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 163-168
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