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- W2026201540 abstract "Three target recognition methods were tested using broadband ultrasonic echoes from nine cylinders differing in material, size, and internal structure. Echoes were obtained from targets ensonified with simulated dolphin echolocation pulses, and were processed by the human auditory system, by the constant-Q filter-bank model of Chestnut et al. [J. Acoust. Soc. Am. 66, 140–147 (1979)], and by a time-domain feature model derived from descriptions of features used by humans. Humans appear to discriminate between these targets by using features related by differences in time separation and differences in relative amplitudes of each echo highlights. The filter-bank model uses a nearest-neighbor algorithm, described by Chestnut, to evaluate frequency-dependent reflection characteristics, and the time-domain model calculates distances between test and reference feature lists, where features contain time separation and amplitude information of the highlights. All systems peformed above 90% correct under ideal conditions. The filter model was adversely affected by slight changes in the configuration of the echo collection system which had no effect on the other models. Data comparing performance of the three recognition methods in noise will be discussed." @default.
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- W2026201540 title "Comparison of three pattern recognition methods using broadband sonar echoes" @default.
- W2026201540 doi "https://doi.org/10.1121/1.2022102" @default.
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