• Title/Summary/Keyword: Unstable signature

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Effective Detection Method of Unstable Acoustic Signature Generated from Ship Radiated Noise

  • Yoon, Jong-Rak;Ro, Yong-Ju
    • The Journal of the Acoustical Society of Korea
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    • v.20 no.1E
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    • pp.25-30
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    • 2001
  • The unstable signature that is defined as frequency change with respect to the time or frequency modulation, is caused by the external loading variation in specific machinery component and Doppler shift etc. In this study, we analyze the generation mechanism of the unstable signature and apply the Extended Kalman filter (EKF) algorithm for its detection. The performance of Extended Kalman Filter is examined for numerical and measured signals and the results show its validity for unstable signature detection.

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On-line Signature Verification Based on the Structural Analysis (구조적 분석에 의한 온라인 서명 검증)

  • 이진호;김성훈김재희
    • Proceedings of the IEEK Conference
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    • 1998.10a
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    • pp.1293-1296
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    • 1998
  • This paper presents a new signature verification technique that not only maximally allows variations in signatures of each person, but also discriminates effectively forgeries from true signatures. The signature verification system is designed to detect unstable portions in signatures of same person, and to give large weight on the portion that is difficult to imitate and plays an important role in signature verification. In registration mode, the system extracts subpatterns from training samples and analizes their consistency and singularity by calculating the variance and complexity of this portion. In verification mode, the system verifies a input signature by comparing corresponding subpatterns with the weights of reference subpatterns.

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Application of Instantaneous Frequency Analysis(II) -Conditions of Existing Negative Frequency Components- (순간주파수 분석기법의 응용 (2) -주파수의 부호를 결정하는 조건-)

  • 김정태;임병덕
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.18 no.4
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    • pp.1057-1063
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    • 1994
  • An instantaneous frequency analysis is a technique to examine a signature for the rotating machinery if the signal has several transitions within a cycle. This paper discusses the conditions of existing negative frequency components in the instantaneous frequency. By using a signal consisted of two frequency components, the instantaneous frequency analysis is conducted while the amplitude ratio between two frequency components has been changed. The analysis shows that, depending on the amplitude ratio, the instantaneous frequencies have averaged, zero-valued, or negative components. It turns out that the negative-valued instantaneous frequencies, which have been regarded as the noise effect, are the consequence of the calculation process for the multisignal components. The criteria of existing the negative values in instantaneous frequencies is given in terms of the relative amplitude ratio and the frequency difference. Especially when the amplitude ratio approaches to 1, the instantaneous frequency fluctuates ${\pm}\infty$ in theory, which implies that instantaneous frequency has unstable region around the amplitude ratio, 1.Also, as the frequency difference between major signal components is increased, the region of existing negative instantaneous becomes broader. In an instantaneous frequency analysis, therefore, a narrow band analysis is suggested, with extreme care if the amplitude ratio approaches to 1. In this paper, a vibration signal monitored from a rotating machinery is also examined as an application example in order to show the existence of negative instantaneous frequencies components.

Enhancement of Frequency Lines of Acoustic Signature in Vernier Analysis Using the Autocorrelation-based Postprocessing (Vernier 신호 분석에서 자기상관함수 기반의 후처리를 이용한 주파수선 음향징표 특징 강화)

  • Lee, Jungho;Bae, Keunsung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.3
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    • pp.546-555
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    • 2013
  • In this paper, we propose a novel method to enhance the harmonic components from the frequency lines of the passive sonar signals. For this, we first separate the stable frequency lines from unstable ones using mean and difference of spectral bins in the vernier analysis. Then we emphasize the harmonic components using autocorrelation-based postprocessing, and enhance them by reducing the background noise with the split-window two pass mean algorithm. Experimental results for real underwater acoustic data are presented with our discussions.