Raquel Caballero-Águila

发表

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

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2009, Signal Process..

Polynomial Estimation of Signals from Uncertain Observations Using Covariance Information

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2004, ICINCO.

Distributed fusion filtering for multi-sensor systems with correlated random transition and measurement matrices

Raquel Caballero-Águila, Josefa Linares-Pérez, I. García-Garrido, 2018, Int. J. Comput. Math..

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

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2017, Int. J. Syst. Sci..

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

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2019, Sensors.

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

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2020, Sensors.

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

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2017, Inf. Fusion.

Signal estimation with multiple delayed sensors using covariance information

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2010, Digit. Signal Process..

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

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2013, Int. J. Syst. Sci..

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

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2008, Int. J. Syst. Sci..

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

Raquel Caballero-Águila, Josefa Linares-Pérez, I. García-Garrido, 2013 .

Centralized, distributed and sequential fusion estimation from uncertain outputs with correlation between sensor noises and signal

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2019, Int. J. Gen. Syst..

Filtering and prediction from uncertain observations with correlated signal and noise via mixture approximations

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2007, Signal Process..

Unscented Filtering Algorithm for Discrete-Time Systems with Uncertain Observations and State-Dependent Noise

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2011 .

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

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2004, Appl. Math. Comput..

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

Raquel Caballero-Águila, Josefa Linares-Pérez, Irene García-Garrido, 2014, Int. J. Syst. Sci..

New recursive estimators from correlated interrupted observations using covariance information

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2005, Int. J. Syst. Sci..

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

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2017, Int. J. Gen. Syst..

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

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2005, Appl. Math. Comput..

Networked fusion estimation with multiple uncertainties and time-correlated channel noise

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2020, Inf. Fusion.

New Derivation of the Filter and Fixed-Interval Smoother with Correlated Uncertain Observations

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2004, ICINCO.

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

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2018, Sensors.

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

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2017, Sensors.

RLS Wiener Predictor with Uncertain Observations in Linear Discrete-Time Stochastic Systems

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2011, J. Signal Inf. Process..

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

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2014, Signal Process..

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

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2012, Digit. Signal Process..

Recursive Estimation Algorithm Based on Covariances for Uncertainly Observed Signals Correlated with Noise

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2008, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Second-order polynomial estimators from uncertain observations using covariance information

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2003, Appl. Math. Comput..

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

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2016, Sensors.

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

Raquel Caballero-Águila, Josefa Linares-Pérez, Irene García-Garrido, 2014, Appl. Math. Comput..

Optimal Filtering Algorithm based on Covariance Information using a Sequential Fusion Approach

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2019, ICINCO.

Centralized fusion quadratic estimators in multi-sensor systems with correlated missing measurements

Raquel Caballero-Águila, Josefa Linares-Pérez, I. García-Garrido, 2013 .

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

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2016, Int. J. Gen. Syst..

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

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2005, Appl. Math. Comput..

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

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2016, Signal Process..

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

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2009, Comput. Math. Appl..

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

Raquel Caballero-Águila, Josefa Linares-Pérez, I. García-Garrido, 2020, Int. J. Comput. Math..

Centralized filtering and smoothing algorithms from outputs with random parameter matrices transmitted through uncertain communication channels

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2019, Digit. Signal Process..

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

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2008, Signal Process..

Networked distributed fusion estimation under uncertain outputs with random transmission delays, packet losses and multi-packet processing

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2019, Signal Process..

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

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2018, Inf. Fusion.

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

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2006, Appl. Math. Comput..

Signal Estimation with Random Parameter Matrices and Time-correlated Measurement Noises

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2019, ICINCO.

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

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2013, Appl. Math. Comput..

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

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2003, Appl. Math. Comput..

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

Raquel Caballero-Águila, Josefa Linares-Pérez, Irene García-Garrido, 2016, Appl. Math. Comput..

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

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2003, Signal Process..

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

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2005, Digit. Signal Process..

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

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2008, Appl. Math. Comput..

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

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2003, Int. J. Syst. Sci..

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

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2015, Int. J. Gen. Syst..

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

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2011, Signal Process..

Recursive least-squares quadratic smoothing from measurements with packet dropouts

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2012, Signal Process..

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

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2010 .

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

Raquel Caballero-Águila, Josefa Linares-Pérez, I. García-Garrido, 2015 .

Second-Order Polynomial Estimators from Non-independent Uncertain Observations Using Covariance Information

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2003, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

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

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2005 .

Fixed-point, fixed-interval and fixed-lag smoothing algorithms from uncertain observations based on covariances

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2004 .