Title :
Modeling and classification of biological signals using least squares Prony-SVD AR modeling [underwater acoustics]
Author :
Fargues, Monique P. ; Cristi, Roberto ; Vanderkamp, Martha
Author_Institution :
Naval Postgraduate Sch., Monterey, CA, USA
Abstract :
Examines various marine biological signals and estimates models of these signals using a least-squares Prony/SVD algorithm. Two classification procedures are presented; the first technique uses a back-propagation neural network, and the second method is based on various spectral distances. Performances of the methods are compared and the characteristics of each technique are discussed
Keywords :
autoregressive processes; bioacoustics; physiological models; underwater sound; autoregressive modeling; back-propagation neural network; classification procedures; least-squares Prony/SVD algorithm; marine biological signals; singular value decomposition; spectral distances; underwater acoustics; Acoustic noise; Biological system modeling; Frequency; Least squares approximation; Least squares methods; Neural networks; Parameter estimation; Sampling methods; Signal generators; Whales;
Conference_Titel :
Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-1760-2
DOI :
10.1109/MWSCAS.1993.342992
