Predicting equation from Chaotic data by Nonlinear Singular Value Decomposition
Chaotic Dynamics
2007-05-23 v1
Abstract
Singular Value Decomposition can be considered as an effective method for Signal Processing/especially data compression. In this short paper we investigate the application of SVD to predict data equation from data. The method is similar to nonlinear ARMA method for fitting a nonlinear equation to the data.
Cite
@article{arxiv.nlin/0605044,
title = {Predicting equation from Chaotic data by Nonlinear Singular Value Decomposition},
author = {Prabhakar G. Vaidya and P. S. Sajini Anand},
journal= {arXiv preprint arXiv:nlin/0605044},
year = {2007}
}