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 language | English |
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Pages (from-to) | 906-911 |
Number of pages | 6 |
Journal | Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University |
Volume | 32 |
Issue number | 6 |
State | Published - 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