Paper Info
Title
Scale-Dependence Of Spatiotemporal Filters Inspired By Cellular Automata
Abstract
We discuss analysis tools of spatiotemporal patterns. These tools are based on nearest-neighbor considerations similar to cellular automata. Application of these methods to a spatiotemporal data set means selecting certain scales in space and in time. Focusing on spatial length we show that the dependence of the results on this scale can be used to quantify separately the contribution to the dynamics of measurement noise and of dynamical (internal) noise, respectively. In particular, we test the spatiotemporal filters using sample data generated with a network of coupled Sel'kov oscillators. Possible application of our results to biological systems are briefly discussed.
Year
DOI
Venue
2004
10.1142/S0218127404010370
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS
Keywords
DocType
Volume
time series analysis, spatiotemporal noise
Journal
14
Issue
ISSN
Citations 
6
0218-1274
0
PageRank 
References 
Authors
0.34
1
2
Name
Order
Citations
PageRank
Hauke Busch1252.50
Marc-Thorsten Hütt29013.65