Easy recipes for cooperative smoothing

Maciej Niedźwiecki

doi:10.1016/j.automatica.2010.01.030

Easy recipes for cooperative smoothing

Abstract

In this paper we suggest how several competing signal smoothers, differing in design parameters, or even in design principles, can be combined together to yield a better and more reliable smoothing algorithm. The proposed heuristic, but statistically well motivated, fusion mechanism allows one to combine practically all kinds of smoothers, from simple local averaging or order statistic filters, to parametric smoothers designed for different hypothetical signal and/or noise models. It also allows one to account for the distribution of measurement noise, and in particular to cope with heavy-tailed disturbances, such as Laplacian noise, and light-tailed disturbances, such as uniform noise.

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Maciej Niedźwiecki prof. dr hab. inż.

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DOI:: Digital Object Identifier (open in new tab) 10.1016/j.automatica.2010.01.030
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Category:: Articles
Type:: artykuł w czasopiśmie wyróżnionym w JCR
Published in:: AUTOMATICA no. 46, pages 716 - 720,
ISSN: 0005-1098
Language:: English
Publication year:: 2010
Bibliographic description:: Niedźwiecki M.: Easy recipes for cooperative smoothing// AUTOMATICA. -Vol. 46, nr. Iss. 4 (2010), s.716-720
DOI:: Digital Object Identifier (open in new tab) 10.1016/j.automatica.2010.01.030
Verified by:: Gdańsk University of Technology