An Improved Preprocessing for Biosonar Target Classification

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.

• Type: Conference
• Year: 2004
• Where: IJIT
• Authors: Turgay Temel, John Hallam
• Keywords: Artificial Intelligence, Biosonar Signal Processing, Cochlea Model, IJIT 2004, Improved Processing Description