Classification of Underwater Mammals using Feature Extraction Based on Time-Frequency Analysis and BCM Theory.
BROWN UNIV PROVIDENCE RI INST FOR BRAIN AND NEURAL SYSTEMS
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Underwater mammal sounds classification is demonstrated using a novel application of wavelet timefrequency decomposition and feature extraction using the BCM neuron. The system achieves outstanding classification performance even when tested with mammal sounds recorded at very different locations from training.