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
      Acoustics

Distribution Statement : APPROVED FOR PUBLIC RELEASE