Predicting equation from Chaotic data by Nonlinear Singular Value Decomposition
| dc.creator | Vaidya, Prabhakar G. | |
| dc.creator | Anand, P. S. Sajini | |
| dc.date | 2006-05-24 | |
| dc.date.accessioned | 2026-07-07T07:14:49Z | |
| dc.date.available | 2026-07-07T07:14:49Z | |
| dc.description | 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. | |
| dc.identifier | https://arxiv.org/abs/nlin/0605044 | |
| dc.identifier | http://arxiv.org/abs/nlin/0605044 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/113037 | |
| dc.subject | Chaotic Dynamics | |
| dc.title | Predicting equation from Chaotic data by Nonlinear Singular Value Decomposition | |
| dc.type | text |