title: Reduction of noise of large amplitude through adaptive neighborhoods.
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%.
authors: Departamento de Fundamentos del Análisis Económico I, Universidad Complutense, 28223 Madrid, Spain.
authors: M Eugenia
authors: ME
authors: Mera
authors: Manuel
authors: M
authors: Morán