Knowledge Network Approach to Noise Reduction
Data Analysis, Statistics and Probability
2007-05-23 v1 Disordered Systems and Neural Networks
Abstract
Previous preliminary results on the application of knowledge networks to noise reduction in stationary harmonic and weakly chaotic signals are extended to more general cases. The formalism gives a novel algorithm from which statistical tests for the identification of deterministic behavior in noisy stationary time series can be constructed.
Cite
@article{arxiv.physics/0609048,
title = {Knowledge Network Approach to Noise Reduction},
author = {Arturo Berrones},
journal= {arXiv preprint arXiv:physics/0609048},
year = {2007}
}
Comments
9 pages, 21 figures