Accession Number : ADA316962
Title : Classification of Underwater Mammals using Feature Extraction Based on Time-Frequency Analysis and BCM Theory.
Descriptive Note : Technical rept.,
Corporate Author : BROWN UNIV PROVIDENCE RI INST FOR BRAIN AND NEURAL SYSTEMS
Personal Author(s) : Huynh, Quyen Q. ; Cooper, Leon N. ; Intrator, Nathan ; Shouval, Harel
PDF Url : ADA316962
Report Date : MAY 1996
Pagination or Media Count : 15
Abstract : Underwater mammal sounds classification is demonstrated using a novel application of wavelet time/frequency 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).
Descriptors : *MAMMALS, *ACOUSTIC SIGNALS, *NERVE CELLS, *AQUATIC ANIMALS, FREQUENCY, TIME, SOUND, CLASSIFICATION, EXTRACTION, UNDERWATER ACOUSTICS, UNDERWATER.
Subject Categories : Biology
Distribution Statement : APPROVED FOR PUBLIC RELEASE