Detection of Impulse Signal in Noise Using a Minimum Variance Cepstrum-Theory

최소 분산 캡스트럼을 이용한 노이즈속에 묻힌 임펄스 검출방법-이론

  • 최영철 (한국과학기술원 대학원 기계공학과) ;
  • 김양한 (한국과학기술원 기계공학과)
  • Published : 2000.08.01

Abstract

Conventional cepstrum has been widely used to detect echo and fault signals embedded in noise. One of the problems of finding impulse signals using the conventional cepstrum in that it is normally very sensitive to signal to noise ratio (SNR). This paper proposes a signal processing method to detect impulse signal in noisy environment. Because the proposed method minimizes the variance of signal power at a cepstrum domain, it is suggested to be called as minimum variance cepstrum (MV cepstrum). Computer simulations have been performed to understand the characteristics of the MV cepstrum. Both mathematical approach and computer simulations confirmed that the MV cepstrum is a useful technique to detect impulse in noisy environment.

Keywords

References

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  2. Fourier transform and Its Applications Ronald.N.Bracewell
  3. discrete Random Signals and Statistical Signal Processing Charles W. Therrien
  4. IEEE Transactions on Signal Processing v.39 no.3 On the Family if ML Spectral Estimates for Mixed Spectrum Imdentification Peter J. Sherman
  5. 한국과학기술원 기계공학과 석사학위논문 최소 분산 캠스트럼을 이용한 노이즈속에 묻힌 임펄스 검출 방법 최영철
  6. 한국소음진동공학회 추계학술대회 MV Cepstrum을 이용한 노이즈 속에 묻힌 임펄스 신호 검출방법 최영철;김양한