• Title/Summary/Keyword: Split-window two pass mean

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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.