An extraction computational algorithm based on the morlet wavelet coefficient spectrum

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

1 Citation (Scopus)

Abstract

This paper discussed on the effectiveness of the Morlet wavelet to generate new edited signal. The 122.4 second SAESUS strain signal was edited based on the Morlet wavelet coefficient amplitude level. Segments with wavelet coefficient amplitude level lower than Cut Off Level (COL) were removed. Furthermore, extracted fatigue damaged segments were retained and then were joined in order to gain new edited signal. The signal statistical parameter and fatigue damaging values should be as accurate as possible for all signals. From the analysis, the 25,000 !" was selected to be the optimum COL value since the level did not change the signal behaviour. This value gave a 14 % reduction in length with only 6.1 % reduction in the fatigue damage. This indicated that the Morlet wavelet can be successfully applied to compress the original signal without changing the main history as well.

Original languageEnglish
Title of host publicationICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings
Pages68-73
Number of pages6
DOIs
Publication statusPublished - 2009
Event2009 IEEE International Conference on Signal and Image Processing Applications, ICSIPA09 - Kuala Lumpur
Duration: 18 Nov 200919 Nov 2009

Other

Other2009 IEEE International Conference on Signal and Image Processing Applications, ICSIPA09
CityKuala Lumpur
Period18/11/0919/11/09

Fingerprint

Fatigue of materials
Fatigue damage

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Putra, T. E., Abdullah, S., & Nuawi, M. Z. (2009). An extraction computational algorithm based on the morlet wavelet coefficient spectrum. In ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings (pp. 68-73). [5478722] https://doi.org/10.1109/ICSIPA.2009.5478722

An extraction computational algorithm based on the morlet wavelet coefficient spectrum. / Putra, T. E.; Abdullah, Shahrum; Nuawi, Mohd. Zaki.

ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings. 2009. p. 68-73 5478722.

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

Putra, TE, Abdullah, S & Nuawi, MZ 2009, An extraction computational algorithm based on the morlet wavelet coefficient spectrum. in ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings., 5478722, pp. 68-73, 2009 IEEE International Conference on Signal and Image Processing Applications, ICSIPA09, Kuala Lumpur, 18/11/09. https://doi.org/10.1109/ICSIPA.2009.5478722
Putra TE, Abdullah S, Nuawi MZ. An extraction computational algorithm based on the morlet wavelet coefficient spectrum. In ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings. 2009. p. 68-73. 5478722 https://doi.org/10.1109/ICSIPA.2009.5478722
Putra, T. E. ; Abdullah, Shahrum ; Nuawi, Mohd. Zaki. / An extraction computational algorithm based on the morlet wavelet coefficient spectrum. ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings. 2009. pp. 68-73
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