Recursive estimators of signals from measurements with stochastic delays using covariance information
type: Item
instance of: scholarly article
title: Recursive estimators of signals from measurements with stochastic delays using covariance information
zbMATH Open document ID: 1062.94520
author: R. Caballero-Áuguila
author: Seiichi Nakamori
author: Aurora Hermoso-Carazo
author: Josefa Linares-Pérez
published in: Applied Mathematics and Computation
publication date: 2005-02-22T00:00:00Z
Mathematics Subject Classification ID: 94A12
Mathematics Subject Classification ID: 93E03
Mathematics Subject Classification ID: 93E10
Mathematics Subject Classification ID: 93E24
zbMATH DE Number: 2136154
zbMATH Keywords: Least-squares estimation
zbMATH Keywords: Innovation process
zbMATH Keywords: Stochastic systems
zbMATH Keywords: Randomly delayed observations
zbMATH Keywords: Covariance information
MaRDI profile type: Publication
full work available at URL: j.amc.2003.12.066
OpenAlex ID: W2120463069
Wikidata QID: Q59552571
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cites work: Linear recursive discrete-time estimators using covariance information under uncertain observations
cites work: New design of estimators using covariance information with uncertain observations in linear discrete-time systems
cites work: Lectures on linear least-squares estimation
DOI: 10.1016/J.AMC.2003.12.066
DBLP publication ID: journals/amc/NakamoriCHL05a
description: scientific article; zbMATH DE number 2136154