Conference
Dynamic reconstruction of sea clutter using regularized REP networks
Abstract
We demonstrate the dynamic reconstruction of sea clutter time series using a regularized radial basis function (RBF) network. The dynamic invariants, namely, correlation dimension, Lyapunov exponents and the Kaplan-Yorke dimension of the actual and the reconstructed time series are compared to confirm the goodness of fit of the RBF model to the actual clutter data. A detailed statistical analysis of the horizon of predictability is presented to …
Authors
Haykin S; Puthusserypady S; Yee P
Volume
1
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
January 1, 1998
DOI
10.1109/acssc.1998.750821
Name of conference
Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284)
Conference proceedings
2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)
ISSN
1058-6393