A Study on Suppression of Ultrasonic Background Noise Signal using wavelet Transform

Wavelet변환을 이용한 초음파 잡음신호의 제거에 관한 연구

  • 박익근 (서울산업대학교 기계공학과)
  • Published : 1999.02.01

Abstract

Recently, advance signal analysis which is called "Time-Frequency Analysis" has been developed. Wavelet and Wigner Distribution are used to the method. Wavelet transform(WT) is applied to time-frequency analysis of waveforms obtained by an ultrasonic pulse-echo technique. The Gabor function is adopted as the analyzing wavelet. Wavelet analysis method is an attractive technique for evolution of material characterization evoluation. In this paper, the feasibility of suppression of ultrasonic background noise signal using WT has been presented. These results suggest that ultrasonic background noise ginal can be suppressed and enhanced even for SNR of 20.8 dB. This property of the WT is extremely useful for the detecting flaw echos embedded in background noise.und noise.

Keywords

References

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