Finite difference methods for the numerical differentiation of non-exact data

DOI10.1007/BF02242272zbMath0537.65018OpenAlexW2398667566MaRDI QIDQ792733

Frank R. de Hoog, Robert S. Anderssen

Publication date: 1984

Published in: Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02242272

zbMATH Keywords

Wiener filteringregularizationfinite difference methodsminimum varianceamplification factormulti-point differentiatorsnon-exact data

Mathematics Subject Classification ID

Inference from stochastic processes and spectral analysis (62M15) Numerical differentiation (65D25)

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Cites Work

• Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
• A formal comparison of methods proposed for the numerical solution of first kind integral equations
• Sharpening the response of a symmetric nonrecursive filter by multiple use of the same filter
• Practical Approximate Solutions to Linear Operator Equations When the Data are Noisy
• Unnamed Item

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