Smooth local subspace projection for nonlinear noise reduction
نویسندگان
چکیده
منابع مشابه
Smooth local subspace projection for nonlinear noise reduction.
Many nonlinear or chaotic time series exhibit an innate broad spectrum, which makes noise reduction difficult. Local projective noise reduction is one of the most effective tools. It is based on proper orthogonal decomposition (POD) and works for both map-like and continuously sampled time series. However, POD only looks at geometrical or topological properties of data and does not take into ac...
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ژورنال
عنوان ژورنال: Chaos: An Interdisciplinary Journal of Nonlinear Science
سال: 2014
ISSN: 1054-1500,1089-7682
DOI: 10.1063/1.4865754