Application of wavelet scale correlation filtering and its improved algorithm in signal processing with a spark sound source

作者:WEN Hongtao; YANG Yanming; LIU Zhenwen; NIU Fuqiang
来源:Chinese Journal of Acoustics, 2013, (04): 366-378.
DOI:10.15949/j.cnki.0217-9776.2013.04.003

摘要

It is seriously interfered by ship noise when analyzing and extracting broadband spark sound source signal.In the energy concentrated domain which is below 5 kHz,the traditional scale correlation filtering algorithm,which is based on adjacent-scale correlation,has limited anti-interference ability due to the low signal-to-noise ratio(SNR) and similar Lipschitz exponent characteristic of each other.However,because different frequency bands of the broadband electric spark signal have different noise interferences,the filtering algorithm based on adjacent-scale correlation is adapted to high SNR and small-scale high-frequency wavelet coefficients filtering;the filtering algorithm based on cross-scale correlation is adapted to low SNR and large-scale low-frequency wavelet coefficients filtering,and the threshold coefficient selection method had been corrected in the algorithm.It is shown that the filtering algorithm has a good filtering effect and extracts the broadband spark sound source signal effectively;it is applicable to broadband underwater acoustic signal processing in the presence of narrow-band strong interference background noise.

  • 出版日期2013-11-15

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