Predicting equation from Chaotic data by Nonlinear Singular Value Decomposition

Prabhakar G. Vaidya; P. S. Sajini Anand

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Predicting equation from Chaotic data by Nonlinear Singular Value Decomposition

Prabhakar G. Vaidya·P. S. Sajini Anand

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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.

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BibTeX RIS

Prabhakar G. Vaidya, P. S. Sajini Anand. 2006-05-24. Predicting equation from Chaotic data by Nonlinear Singular Value Decomposition. https://arxiv.org/abs/nlin/0605044

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