A new method for estimating derivatives based on a distribution approach

DOI10.1007/S11075-012-9535-4zbMath1251.65036OpenAlexW2078736695MaRDI QIDQ451813

Lilianne Denis-Vidal, Ghislaine Joly-Blanchard, Nathalie Verdière

Publication date: 24 September 2012

Published in: Numerical Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11075-012-9535-4

zbMATH Keywords

numerical examplesdistributionstest functionsderivatives estimationnoisy signal

Mathematics Subject Classification ID

Numerical differentiation (65D25)

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A distribution input-output polynomial approach for estimating parameters in nonlinear models. Application to a chikungunya model ⋮ On Symbolic Approaches to Integro-Differential Equations

Cites Work

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• Computing derivatives of noisy signals using orthogonal functions expansions
• Error analysis of Jacobi derivative estimators for noisy signals
• Numerical differentiation with annihilators in noisy environment
• Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
• A practical guide to splines
• LQG optimal control of multirate sampled-data systems

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