Abstract
We propose a noise reduction algorithm based on adaptive neighborhood selection that is able to obtain high levels of noise reduction for chaotic vector time series corrupted by observational noises with a noise-to-signal ratio of up to 300%.
- Received 27 March 2009
DOI:https://doi.org/10.1103/PhysRevE.80.016207
©2009 American Physical Society