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A general approach for nonparametric fitting of functions and their derivatives with applications to linear circuits identification

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Publication:3757841
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DOI10.1109/TCS.1986.1086001zbMath0619.94028OpenAlexW2099141928MaRDI QIDQ3757841

Leszek Rutkowski

Publication date: 1986

Published in: IEEE Transactions on Circuits and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tcs.1986.1086001


zbMATH Keywords

algorithmspeed of convergenceestimation of functions and their derivatives from noisy observationsnonparametric identification of linear circuits


Mathematics Subject Classification ID

Estimation and detection in stochastic control theory (93E10) Identification in stochastic control theory (93E12) Circuits, networks (94C99)


Related Items (2)

Learning shape sensitive descriptors for classifying functional data ⋮ Regularized least squares support vector regression for the simultaneous learning of a function and its derivatives







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