DocumentCode
2500776
Title
Classification using feature extraction based on time-frequency analysis and BCM theory
Author
Quyen Q. Huynh
Author_Institution
Naval Undersea Warfare Center, Newport, RI
fYear
1996
fDate
18-21 Jun 1996
Firstpage
233
Lastpage
236
Abstract
Marine 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)
Keywords
acoustic signal processing; aquaculture; biocommunications; biology computing; feature extraction; neural nets; pattern classification; time-frequency analysis; underwater sound; wavelet transforms; BCM neuron; Bienenstock Cooper Munro theory; classification performance; feature extraction; marine mammal sounds classification; time-frequency analysis; wavelet time/frequency decomposition; Background noise; Computational efficiency; Equations; Feature extraction; Neurons; Performance evaluation; Time frequency analysis; Vectors; Wavelet transforms; Whales;
fLanguage
English
Publisher
ieee
Conference_Titel
Time-Frequency and Time-Scale Analysis, 1996., Proceedings of the IEEE-SP International Symposium on
Conference_Location
Paris
Print_ISBN
0-7803-3512-0
Type
conf
DOI
10.1109/TFSA.1996.547456
Filename
547456
Link To Document