Abstract
Abstract. The underwater signals from one and six breams, crucians, grass carps, and cyprinoids using a hydrophone were preprocessed by Wiener filtering. Three features were extracted: frequency band energy based on wavelet packet decomposition, average mel cepstral coefficient, and main peak frequency and main peak value based on the power spectrum. The effects of fish species and quantity on these features were analyzed. The results show that fish species had significant effects on the frequency band energy based on wavelet packet decomposition, average mel cepstral coefficient, and main peak frequency and main peak value based on the power spectrum. The fish quantity had significant effects on the frequency band energy based on wavelet packet decomposition and main peak value based on the power spectrum, but had no significant effects on the average mel cepstral coefficient and main peak frequency based on the power spectrum. Keywords: Feature extraction, Freshwater fish, Passive underwater acoustic technology, Significance analysis.
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