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

Applied mathematics and computation, 2007-07, Vol.190 (2), p.1375-1393

2007

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

Signal processing, 2014-01, Vol.94, p.163-173

2014

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Distributed and centralized fusion estimation from multiple sensors with Markovian delays

Applied mathematics and computation, 2012-11, Vol.219 (6), p.2932-2948

2012

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

Applied mathematics and computation, 2011-06, Vol.217 (20), p.7998-8009

2011

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

Mathematical problems in engineering, 2014-01, Vol.2014 (2014), p.1-13

2014

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

Mathematical methods in the applied sciences, 2005-09, Vol.28 (13), p.1569-1584

2005

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

Digital signal processing, 2012-12, Vol.22 (6), p.1118-1125

2012

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Different approaches for state filtering in nonlinear systems with uncertain observations

Applied mathematics and computation, 2007-04, Vol.187 (2), p.708-724

2007

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

Mathematical Problems in Engineering, 2010-01, Vol.2010 (1), p.743-760-041

2010

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

Signal processing, 2009-10, Vol.89 (10), p.2045-2052

2009

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Derivation of centralized and distributed filters using covariance information

Computational statistics & data analysis, 2011, Vol.55 (1), p.312-323

2011

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

Mathematical and computer modelling, 2011-11, Vol.54 (9), p.2277-2286

2011

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

Journal of computational and applied mathematics, 2011-08, Vol.236 (2), p.234-242

2011

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

Journal of computational and applied mathematics, 2010-06, Vol.234 (3), p.794-804

2010

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

Applied mathematics and computation, 2008-09, Vol.203 (1), p.243-251

2008

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

Mathematical and computer modelling, 2008-02, Vol.47 (3), p.298-311

2008

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

Applied mathematics and computation, 2005-03, Vol.162 (1), p.65-79

2005

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

Applied mathematics and computation, 2004-04, Vol.151 (2), p.315-325

2004

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Filtering in Generalized Signal-Dependent Noise Model Using Covariance Information

IEICE transactions on fundamentals of electronics, communications and computer sciences, 2008, Vol.E91-A (3), p.809-817

2008

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

IEICE transactions on fundamentals of electronics, communications and computer sciences, 2008-07, Vol.E91-A (7), p.1706-1712

2008

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Least-squares Polynomial Estimation fromObservations Featuring Correlated RandomDelays

Methodology and computing in applied probability, 2010-09, Vol.12 (3), p.491-509

2010

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Signal polynomial smoothing from correlated interrupted observations based on covariances: Approximation, stability and error analysis

Mathematical methods in the applied sciences, 2007, Vol.30 (14), p.1645-1665

2007

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Estimation of the national disease burden of influenza-associated severe acute respiratory illness in Kenya and Guatemala: a novel methodology

PloS one, 2013-02, Vol.8 (2), p.e56882-e56882

2013

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

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

Distributed and centralized fusion estimation from multiple sensors with Markovian delays

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

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

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

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

Different approaches for state filtering in nonlinear systems with uncertain observations

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

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

Derivation of centralized and distributed filters using covariance information

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

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

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

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

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

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

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

Filtering in Generalized Signal-Dependent Noise Model Using Covariance Information

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

Least-squares Polynomial Estimation fromObservations Featuring Correlated RandomDelays

Signal polynomial smoothing from correlated interrupted observations based on covariances: Approximation, stability and error analysis

Estimation of the national disease burden of influenza-associated severe acute respiratory illness in Kenya and Guatemala: a novel methodology

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