Fuzzy logic supported frequency range estimation for adaptive fourier analysis

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

1 Citation (Scopus)

Abstract

Adaptive Fourier Analyzers have been developed for measuring periodic signals with unknown or changing fundamental frequency. Typical applications are vibration measurements and active noise control related to rotating machinery and calibration equipment that can avoid the changes of the line frequency by adaptation. Higher frequency applications have limitations since the computational complexity of these analyzers are relatively high as the number of harmonic components to be measured (or suppressed) is usually above 50. Recently, a fast-filter bank structure has been proposed for Adaptive Fourier Analysis based on the combination of the concept of transform domain signal processing and the adaptation of a simple linear combiner. It results in the reduction of the above computational complexity, however for the correct use we have to have pre-estimation about the range of the fundamental frequency (or frequencies) to be able to set the applied single-input multiple-output filter-banks, which in many cases causes significant and possibly non-tolerable delay in the operation. In this paper a new fuzzy logic supported frequency range estimation procedure is proposed which makes possible to execute the frequency estimation in the first half of the period of the unknown signal, i.e. the adaptation and Fourier Analysis can be performed without any delay.

Original languageEnglish
Title of host publicationSOFA 2007 - 2nd IEEE International Workshop on Soft Computing Applications Proceedings
Pages25-31
Number of pages7
DOIs
Publication statusPublished - 2007
Event2nd IEEE International Workshop on Soft Computing Applications, SOFA 2007 - Oradea
Duration: Aug 21 2007Aug 23 2007

Other

Other2nd IEEE International Workshop on Soft Computing Applications, SOFA 2007
CityOradea
Period8/21/078/23/07

Fingerprint

Fourier analysis
Filter banks
Fuzzy logic
Computational complexity
Active noise control
Frequency estimation
Rotating machinery
Vibration measurement
Signal processing
Calibration

Keywords

  • Adaptive fourier analysis
  • Anytime systems
  • DFT
  • FFT
  • Frequency estimation
  • Fuzzy sets
  • Transformed domain digital signal processing

ASJC Scopus subject areas

  • Computer Science Applications
  • Software

Cite this

Várkonyi-Kóczy, A. (2007). Fuzzy logic supported frequency range estimation for adaptive fourier analysis. In SOFA 2007 - 2nd IEEE International Workshop on Soft Computing Applications Proceedings (pp. 25-31). [4318300] https://doi.org/10.1109/SOFA.2007.4318300

Fuzzy logic supported frequency range estimation for adaptive fourier analysis. / Várkonyi-Kóczy, A.

SOFA 2007 - 2nd IEEE International Workshop on Soft Computing Applications Proceedings. 2007. p. 25-31 4318300.

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

Várkonyi-Kóczy, A 2007, Fuzzy logic supported frequency range estimation for adaptive fourier analysis. in SOFA 2007 - 2nd IEEE International Workshop on Soft Computing Applications Proceedings., 4318300, pp. 25-31, 2nd IEEE International Workshop on Soft Computing Applications, SOFA 2007, Oradea, 8/21/07. https://doi.org/10.1109/SOFA.2007.4318300
Várkonyi-Kóczy A. Fuzzy logic supported frequency range estimation for adaptive fourier analysis. In SOFA 2007 - 2nd IEEE International Workshop on Soft Computing Applications Proceedings. 2007. p. 25-31. 4318300 https://doi.org/10.1109/SOFA.2007.4318300
Várkonyi-Kóczy, A. / Fuzzy logic supported frequency range estimation for adaptive fourier analysis. SOFA 2007 - 2nd IEEE International Workshop on Soft Computing Applications Proceedings. 2007. pp. 25-31
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