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Robust smoothing of one‐dimensional data with missing and/or outlier values

Abstract Penalized least squares (PLS) is a popular data smoothing technique. However, existing PLS smoothing algorithms behave as low‐pass filters (LPF), and, hence, they may introduce distortions to bandpass signals. These algorithms also have difficulties associated with the selection of the smoo...

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Detalles Bibliográficos
Autor Principal: Nasser Mourad
Formato: Artigo
Idioma:Inglês
Publicado: Wiley 2021-07-01
Series:IET Signal Processing
Assuntos:
Acceso en liña:https://doi.org/10.1049/sil2.12033
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