List of works - Josefa Linares-Pérez

A New Estimation Algorithm from Measurements with Multiple-Step Random Delays and Packet Dropouts

article by R. Caballero-Águila et al published 2010 in Mathematical Problems in Engineering

A Two-Phase Distributed Filtering Algorithm for Networked Uncertain Systems with Fading Measurements under Deception Attacks

scientific article published on 11 November 2020

A general smoothing equation for signal estimation using randomly delayed observations in the correlated signal-noise case

A new approach to distributed fusion filtering for networked systems with random parameter matrices and correlated noises

scholarly article by R. Caballero-Águila et al published January 2019 in Information Fusion

An innovation approach to the smoothing problem from uncertain observations with correlated signal and noise

article

Centralized Fusion Approach to the Estimation Problem with Multi-Packet Processing under Uncertainty in Outputs and Transmissions

article

Chandrasekhar-type filter for a wide-sense stationary signal from uncertain observations using covariance information

article by S. Nakamori et al published April 2004 in Applied Mathematics and Computation

Covariance-Based Estimation for Clustered Sensor Networks Subject to Random Deception Attacks

scientific article published on 14 July 2019

Covariance-Based Estimation from Multisensor Delayed Measurements with Random Parameter Matrices and Correlated Noises

Covariance-based estimation algorithms in networked systems with mixed uncertainties in the observations

scholarly article by R. Caballero-Águila et al published January 2014 in Signal Processing

Covariance-based fusion filtering for networked systems with random transmission delays and non-consecutive losses

article

Covariance-based least-squares filtering algorithm under Markovian measurement delays

article by M. J. García-Ligero et al published 16 January 2018 in International Journal of Computer Mathematics

Derivation of centralized and distributed filters using covariance information

Derivation of fixed-interval smoothing algorithm using covariance information in distributed parameter systems

Derivation of linear estimation algorithms from measurements affected by multiplicative and additive noises

Design of RLS Wiener estimators from randomly delayed observations in linear discrete-time stochastic systems

Design of RLS Wiener fixed-lag smoother using covariance information in linear discrete stochastic systems

Design of RLS fixed-lag smoother using covariance information in linear discrete stochastic systems

Design of a fixed-interval smoother using covariance information based on the innovations approach in linear discrete-time stochastic systems

article

Design of fixed-lag smoother using covariance information based on innovations approach in linear discrete-time stochastic systems

article

Design of quadratic estimators using covariance information in linear discrete-time stochastic systems

Design of recursive Wiener fixed-point smoothers based on innovations approach in linear discrete-time stochastic systems

article

Different approaches for state filtering in nonlinear systems with uncertain observations

Distributed Fusion Estimation in Network Systems Subject to Random Delays and Deception Attacks

scientific article published on 20 February 2022

Distributed Fusion Filtering in Networked Systems with Random Measurement Matrices and Correlated Noises

Distributed and centralized fusion estimation from multiple sensors with Markovian delays

Distributed estimation based on covariances under network-induced phenomena described by random measurement matrices

article by R. Caballero-Águila et al published 2 May 2016 in International Journal of General Systems

Distributed fusion estimation from measurements with correlated random parameter matrices and noise correlation

Distributed fusion estimation in networked systems with uncertain observations and Markovian random delays

scholarly article by M.J. García-Ligero et al published January 2015 in Signal Processing

Distributed fusion filtering for uncertain systems with coupled noises, random delays and packet loss prediction compensation

scientific article published on 3 October 2022

Distributed fusion filters from uncertain measured outputs in sensor networks with random packet losses

scholarly article by R. Caballero-Águila et al published March 2017 in Information Fusion

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

Estimation in Linear Systems Featuring Correlated Uncertain Observations Coming from Multiple Sensors

Extended and unscented filtering algorithms using one-step randomly delayed observations

Filtering of images corrupted by multiplicative and white plus coloured additive noises using covariance information

article by S. Nakamori et al published February 2008 in Mathematical and Computer Modelling

Fixed-interval smoothing algorithm based on covariances with correlation in the uncertainty

Fixed-interval smoothing problem from uncertain observations with correlated signal and noise

Fixed-point smoothing with non-independent uncertainty using covariance information

Fusion Estimation from Multisensor Observations with Multiplicative Noises and Correlated Random Delays in Transmission

article

Fusion estimation using measured outputs with random parameter matrices subject to random delays and packet dropouts

scholarly article by R. Caballero-Águila et al published October 2016 in Signal Processing

Information fusion algorithms for state estimation in multi-sensor systems with correlated missing measurements

Least-Squares Filtering Algorithm in Sensor Networks with Noise Correlation and Multiple Random Failures in Transmission

article

Least-squares Polynomial Estimation from Observations Featuring Correlated Random Delays

article by R. Caballero-Águila et al published 10 January 2009 in Methodology and Computing in Applied Probability

Least-squares linear estimation of signals from observations with Markovian delays

article by M.J. García-Ligero et al published August 2011 in Journal of Computational and Applied Mathematics

Least-squares linear estimators using measurements transmitted by different sensors with packet dropouts

scholarly article by R. Caballero-Águila et al published December 2012 in Digital Signal Processing

Least-squares linear filtering using observations coming from multiple sensors with one- or two-step random delay

article by Josefa Linares-Pérez et al published October 2009 in Signal Processing

Least-squares νth-order polynomial estimation of signals from observations affected by non-independent uncertainty

article by S. Nakamori et al published May 2006 in Applied Mathematics and Computation

Linear and quadratic estimation using uncertain observations from multiple sensors with correlated uncertainty

Linear and quadratic least-squares estimation using measurements with correlated one-step random delay

article by Aurora Hermoso-Carazo & Josefa Linares-Pérez published May 2008 in Digital Signal Processing

Linear estimation based on covariances for networked systems featuring sensor correlated random delays

Linear estimation from uncertain observations with white plus coloured noises using covariance information

article by S. Nakamori et al published July 2003 in Digital Signal Processing

Linear estimation using covariance information in distributed parameter systems with non-independent uncertainty

Linear recursive discrete-time estimators using covariance information under uncertain observations

Networked Fusion Filtering from Outputs with Stochastic Uncertainties and Correlated Random Transmission Delays

scientific article published on 8 June 2016

New design of estimators using covariance information with uncertain observations in linear discrete-time systems

New distributed fusion filtering algorithm based on covariances over sensor networks with random packet dropouts

New recursive estimators from correlated interrupted observations using covariance information

Nonlinear estimation applying an unscented transformation in systems with correlated uncertain observations

Optimal Fusion Estimation with Multi-Step Random Delays and Losses in Transmission

scientific article published on 18 May 2017

Optimal Fusion Filtering in Multisensor Stochastic Systems with Missing Measurements and Correlated Noises

Optimal linear filter design for systems with correlation in the measurement matrices and noises: recursive algorithm and applications

Optimal state estimation for networked systems with random parameter matrices, correlated noises and delayed measurements

Polynomial fixed-point smoothing of uncertainly observed signals based on covariances

Quadratic Estimation of Multivariate Signals from Randomly Delayed Measurements*

Quadratic estimation for stochastic systems in the presence of random parameter matrices, time-correlated additive noise and deception attacks

scientific article published in October 2023

Quadratic estimation from uncertain observations with white plus coloured noises using covariance information

article by S. Nakamori et al published July 2004 in Applied Mathematics and Computation

Quadratic estimation problem in discrete-time stochastic systems with random parameter matrices

RLS Wiener estimators from observations with multiple and random delays in linear discrete-time stochastic systems

Recursive estimation of discrete-time signals from nonlinear randomly delayed observations

Recursive estimators of signals from measurements with stochastic delays using covariance information

Recursive fixed-point smoothing algorithm from covariances based on uncertain observations with correlation in the uncertainty

Recursive least-squares quadratic smoothing from measurements with packet dropouts

scholarly article by R. Caballero-Águila et al published April 2012 in Signal Processing

Recursive smoothing algorithms for the estimation of signals from uncertain observations via mixture approximations

Second-order polynomial estimators from uncertain observations using covariance information

article by S Nakamori et al published November 2003 in Applied Mathematics and Computation

List of works by Josefa Linares-Pérez

A New Estimation Algorithm from Measurements with Multiple-Step Random Delays and Packet Dropouts

A Two-Phase Distributed Filtering Algorithm for Networked Uncertain Systems with Fading Measurements under Deception Attacks

A general smoothing equation for signal estimation using randomly delayed observations in the correlated signal-noise case

A new approach to distributed fusion filtering for networked systems with random parameter matrices and correlated noises

An innovation approach to the smoothing problem from uncertain observations with correlated signal and noise

Centralized Fusion Approach to the Estimation Problem with Multi-Packet Processing under Uncertainty in Outputs and Transmissions

Chandrasekhar-type filter for a wide-sense stationary signal from uncertain observations using covariance information

Covariance-Based Estimation for Clustered Sensor Networks Subject to Random Deception Attacks

Covariance-Based Estimation from Multisensor Delayed Measurements with Random Parameter Matrices and Correlated Noises

Covariance-based estimation algorithms in networked systems with mixed uncertainties in the observations

Covariance-based fusion filtering for networked systems with random transmission delays and non-consecutive losses

Covariance-based least-squares filtering algorithm under Markovian measurement delays

Derivation of centralized and distributed filters using covariance information

Derivation of fixed-interval smoothing algorithm using covariance information in distributed parameter systems

Derivation of linear estimation algorithms from measurements affected by multiplicative and additive noises

Design of RLS Wiener estimators from randomly delayed observations in linear discrete-time stochastic systems

Design of RLS Wiener fixed-lag smoother using covariance information in linear discrete stochastic systems

Design of RLS fixed-lag smoother using covariance information in linear discrete stochastic systems

Design of a fixed-interval smoother using covariance information based on the innovations approach in linear discrete-time stochastic systems

Design of fixed-lag smoother using covariance information based on innovations approach in linear discrete-time stochastic systems

Design of quadratic estimators using covariance information in linear discrete-time stochastic systems

Design of recursive Wiener fixed-point smoothers based on innovations approach in linear discrete-time stochastic systems

Different approaches for state filtering in nonlinear systems with uncertain observations

Distributed Fusion Estimation in Network Systems Subject to Random Delays and Deception Attacks

Distributed Fusion Filtering in Networked Systems with Random Measurement Matrices and Correlated Noises

Distributed and centralized fusion estimation from multiple sensors with Markovian delays

Distributed estimation based on covariances under network-induced phenomena described by random measurement matrices

Distributed fusion estimation from measurements with correlated random parameter matrices and noise correlation

Distributed fusion estimation in networked systems with uncertain observations and Markovian random delays

Distributed fusion filtering for uncertain systems with coupled noises, random delays and packet loss prediction compensation

Distributed fusion filters from uncertain measured outputs in sensor networks with random packet losses

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

Estimation in Linear Systems Featuring Correlated Uncertain Observations Coming from Multiple Sensors

Extended and unscented filtering algorithms using one-step randomly delayed observations

Filtering of images corrupted by multiplicative and white plus coloured additive noises using covariance information

Fixed-interval smoothing algorithm based on covariances with correlation in the uncertainty

Fixed-interval smoothing problem from uncertain observations with correlated signal and noise

Fixed-point smoothing with non-independent uncertainty using covariance information

Fusion Estimation from Multisensor Observations with Multiplicative Noises and Correlated Random Delays in Transmission

Fusion estimation using measured outputs with random parameter matrices subject to random delays and packet dropouts

Information fusion algorithms for state estimation in multi-sensor systems with correlated missing measurements

Least-Squares Filtering Algorithm in Sensor Networks with Noise Correlation and Multiple Random Failures in Transmission

Least-squares Polynomial Estimation from Observations Featuring Correlated Random Delays

Least-squares linear estimation of signals from observations with Markovian delays

Least-squares linear estimators using measurements transmitted by different sensors with packet dropouts

Least-squares linear filtering using observations coming from multiple sensors with one- or two-step random delay

Least-squares νth-order polynomial estimation of signals from observations affected by non-independent uncertainty

Linear and quadratic estimation using uncertain observations from multiple sensors with correlated uncertainty

Linear and quadratic least-squares estimation using measurements with correlated one-step random delay

Linear estimation based on covariances for networked systems featuring sensor correlated random delays

Linear estimation from uncertain observations with white plus coloured noises using covariance information

Linear estimation using covariance information in distributed parameter systems with non-independent uncertainty

Linear recursive discrete-time estimators using covariance information under uncertain observations

Networked Fusion Filtering from Outputs with Stochastic Uncertainties and Correlated Random Transmission Delays

New design of estimators using covariance information with uncertain observations in linear discrete-time systems

New distributed fusion filtering algorithm based on covariances over sensor networks with random packet dropouts

New recursive estimators from correlated interrupted observations using covariance information

Nonlinear estimation applying an unscented transformation in systems with correlated uncertain observations

Optimal Fusion Estimation with Multi-Step Random Delays and Losses in Transmission

Optimal Fusion Filtering in Multisensor Stochastic Systems with Missing Measurements and Correlated Noises

Optimal linear filter design for systems with correlation in the measurement matrices and noises: recursive algorithm and applications

Optimal state estimation for networked systems with random parameter matrices, correlated noises and delayed measurements

Polynomial fixed-point smoothing of uncertainly observed signals based on covariances

Quadratic Estimation of Multivariate Signals from Randomly Delayed Measurements*

Quadratic estimation for stochastic systems in the presence of random parameter matrices, time-correlated additive noise and deception attacks

Quadratic estimation from uncertain observations with white plus coloured noises using covariance information

Quadratic estimation problem in discrete-time stochastic systems with random parameter matrices

RLS Wiener estimators from observations with multiple and random delays in linear discrete-time stochastic systems

Recursive estimation of discrete-time signals from nonlinear randomly delayed observations

Recursive estimators of signals from measurements with stochastic delays using covariance information

Recursive fixed-point smoothing algorithm from covariances based on uncertain observations with correlation in the uncertainty

Recursive least-squares quadratic smoothing from measurements with packet dropouts

Recursive smoothing algorithms for the estimation of signals from uncertain observations via mixture approximations

Second-order polynomial estimators from uncertain observations using covariance information

Signal estimation based on covariance information from observations featuring correlated uncertainty and coming from multiple sensors

Signal estimation with multiple delayed sensors using covariance information

Signal estimation with nonlinear uncertain observations using covariance information

Signal polynomial smoothing from correlated interrupted observations based on covariances

Suboptimal estimation of signals from uncertain observations using approximations of mixtures