An Improved Preprocessing for Biosonar Target Classification
نویسندگان
چکیده
An improved processing description to be employed in biosonar signal processing in a cochlea model is proposed and examined. It is compared to conventional models using a modified discrimination analysis and both are tested. Their performances are evaluated with echo data captured from natural targets (trees). Results indicate that the phase characteristics of low-pass filters employed in the echo processing have a significant effect on class separability for this data. Keywords— Cochlea model, discriminant analysis, neurospike coding, classification.
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