Estimation for discrete-time systems with multiple packet dropouts using covariance information

Autor:	María J. García-Ligero, Aurora Hermoso-Carazo, Josefa Linares-Pérez
Rok vydání:	2011
Předmět:	Mathematical optimization Covariance function Network packet Covariance intersection Covariance Signal Computer Science Applications Discrete time and continuous time Modelling and Simulation Modeling and Simulation Rational quadratic covariance function Algorithm Smoothing Mathematics
Zdroj:	Mathematical and Computer Modelling. 54:2277-2286
ISSN:	0895-7177
Popis:	The problem is considered of estimating a signal based on measurements with multiple packet dropouts when the probability of data arrival at a processing unit is known. Assuming that the equation which describes the signal is unknown, we derive recursive algorithms for the prediction, filtering and smoothing problems using the information provided by the covariance functions of the processes involved in the measurement equation.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::170ad6cf59adccb80ddbfdcaf775a0a1 https://doi.org/10.1016/j.mcm.2011.05.036 Zobrazit plný text záznamu Full Text from ScienceDirect