Identifiability of the stochastic semi-blind deconvolution problem for a class of time-invariant linear systems

DOI10.1016/j.automatica.2006.10.009zbMath1261.93087OpenAlexW2007658361MaRDI QIDQ880419

Gianluigi Pillonetto, Claudio Cobelli

Publication date: 15 May 2007

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2006.10.009

zbMATH Keywords

parameter estimationBrownian motionbiomedical systemsBayesian regularizationsignal estimation

Mathematics Subject Classification ID

Estimation and detection in stochastic control theory (93E10) Linear systems in control theory (93C05) Identification in stochastic control theory (93E12)

Related Items (1)

Bayes and empirical Bayes semi-blind deconvolution using eigenfunctions of a prior covariance

Cites Work

• Identifiability of the deconvolution problem
• On global identifiability for arbitrary model parametrizations
• Nonparametric input estimation in physiological systems: Problems, methods, and case studies
• Nonparametric identification of population models via Gaussian processes
• Robust techniques for signal processing: A survey
• On parameter and structural identifiability: Nonunique observability/reconstructibility for identifiable systems, other ambiguities, and new definitions
• Application of the projected Landweber method to the estimation of the source time function in seismology
• Camouflaged Deconvolution With Application to Blood Curve Modeling in FDG PET Studies
• Consistent identification of NARX models via regularization networks
• Deconvolution of non-stationary physical signals: a smooth variance model for insulin secretion rate
• Stochastic differential equations. An introduction with applications.
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