Robust underwater target recognition based on gammatone frequency discrete wavelet coefficients (GFDWC)

Yaozhen Wu, Yixin Yang, Feng Tian, Long Yang, Can Tao

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

In this paper, aiming at the complexity of underwater target-radiated noise and the limitations of study samples, we present a novel recognition feature approach based on GFDWC, which imitates the hearing perception mechanism of humans. Compared with Mel-frequency cepstral coefficients (MFCC) used extensively at present, this method improves the performance of underwater target recognition system in the following two aspects: (1) the triangular filters were improved based on gammatone function, which approximates well the filter response of basilar membrane; (2) taking localization characteristics into account, we replaced the discrete cosine transform (DCT) with discrete wavelet transform (DWT). The results of the recognition experiments of real underwater target-radiated noise and their analysis show preliminarily that the proposed method has good robustness and gives high recognition rates.

Original languageEnglish
Pages (from-to)906-911
Number of pages6
JournalXibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
Volume32
Issue number6
StatePublished - 1 Dec 2014

Keywords

  • Cosine transforms
  • Disarete wavelet transforms
  • Discrete
  • Feature extraction
  • Gammatone filter
  • Gammatone frequency discrete wavelet coefficients (GFDWC)
  • Multiresolution unalysis
  • Underwater target recognition

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