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- W2019934851 abstract "Identification and classification of fish species are essential for acoustic surveys of fisheries. The echo from the fish contains components from multiple reflections, including the swimbladder and other organs. The target strength (TS) and temporal structure, which were measured and analyzed by using the broadband signal, were changed dependent on the incident angles and fish species. It has been shown that these features were important for discrimination of fish species. The incident angles were calculated by using positions and velocities of each fish, which were measured by the tracking process of the four channels split-beam system, and the target strength was calculated individually by using Fourier transform. In this paper, the cepstral analysis, which was defined as the inverse Fourier transform, was used to extract features for discrimination of fish species from the broadband spectral pattern. In free ranging condition, echoes of Japanese jack mackerel (Trachurus japonicus), chub mackerel (Scomber japonicus), and red sea bream (Pagrus major) were measured and analyzed. It was examined whether cepstral analysis was appropriate to extract species specific features. [Work supported by the Research and Development Program for New Bio-industry Initiatives.]" @default.
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- W2019934851 date "2011-10-01" @default.
- W2019934851 modified "2023-09-27" @default.
- W2019934851 title "Feature extraction for discrimination of fish species by using the cepstral analysis" @default.
- W2019934851 doi "https://doi.org/10.1121/1.3654347" @default.
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