Identifiability of the stochastic semi-blind deconvolution problem for a class of time-invariant linear systems
type: Item
instance of: scholarly article
title: Identifiability of the stochastic semi-blind deconvolution problem for a class of time-invariant linear systems
zbMATH Open document ID: 1261.93087
author: Gianluigi Pillonetto
author: Claudio Cobelli
published in: Automatica
publication date: 2007-05-15T00:00:00Z
Mathematics Subject Classification ID: 93E12
Mathematics Subject Classification ID: 93E10
Mathematics Subject Classification ID: 93C05
zbMATH DE Number: 5152877
zbMATH Keywords: Bayesian regularization
zbMATH Keywords: biomedical systems
zbMATH Keywords: signal estimation
zbMATH Keywords: parameter estimation
zbMATH Keywords: Brownian motion
MaRDI profile type: Publication
full work available at URL: j.automatica.2006.10.009
OpenAlex ID: W2007658361
cites work: Identifiability of the deconvolution problem
cites work: Application of the projected Landweber method to the estimation of the source time function in seismology
cites work: Q3843144
cites work: Consistent identification of NARX models via regularization networks
cites work: Nonparametric input estimation in physiological systems: Problems, methods, and case studies
cites work: On parameter and structural identifiability: Nonunique observability/reconstructibility for identifiable systems, other ambiguities, and new definitions
cites work: Robust techniques for signal processing: A survey
cites work: On global identifiability for arbitrary model parametrizations
cites work: Nonparametric identification of population models via Gaussian processes
cites work: Stochastic differential equations. An introduction with applications.
cites work: Camouflaged Deconvolution With Application to Blood Curve Modeling in FDG PET Studies
cites work: Deconvolution of non-stationary physical signals: a smooth variance model for insulin secretion rate
cites work: Q3761477
cites work: Q3998908
cites work: Q4125663
cites work: Q3996207
DOI: 10.1016/J.AUTOMATICA.2006.10.009
description: scientific article; zbMATH DE number 5152877