Noise reduction for flows using nonlinear constraints
统计力学
2007-05-23 v2
摘要
On the basis of a local-projective with nonlinear constraints (LPNC) approach (see K. Urbanowicz, J.A. Holyst, T. Stemler and H. Benner, Acta Phys. Pol B 35 (9), 2175, 2004) we develop a method of noise reduction in time series that makes use of constraints appearing due to the continuous character of flows. As opposed to local-projective methods in our method we do not need to determine the Jacobi matrix. The approach has been successfully applied for separating a signal from noise in the Lorenz model and in noisy experimental data obtained from an electronic Chua circuit. The method was then applied for filtering noise in human voice.
引用
@article{arxiv.cond-mat/0411324,
title = {Noise reduction for flows using nonlinear constraints},
author = {Krzysztof Urbanowicz and Janusz A. Holyst},
journal= {arXiv preprint arXiv:cond-mat/0411324},
year = {2007}
}
备注
7 pages, 9 figures. See http://www.chaosandnoise.org