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Raquel Caballero-Águila

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2019
[j39]
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Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, Zidong Wang:
A new approach to distributed fusion filtering for networked systems with random parameter matrices and correlated noises. Information Fusion 45: 324-332 (2019)
2018
[j38]
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Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez:
Centralized Fusion Approach to the Estimation Problem with Multi-Packet Processing under Uncertainty in Outputs and Transmissions. Sensors 18(8): 2697 (2018)
2017
[j37]
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Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez:
Covariance-based fusion filtering for networked systems with random transmission delays and non-consecutive losses. Int. J. General Systems 46(7): 752-771 (2017)
[j36]
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Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez:
New distributed fusion filtering algorithm based on covariances over sensor networks with random packet dropouts. Int. J. Systems Science 48(9): 1805-1817 (2017)
[j35]
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Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez:
Distributed fusion filters from uncertain measured outputs in sensor networks with random packet losses. Information Fusion 34: 70-79 (2017)
[j34]
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Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez:
Optimal Fusion Estimation with Multi-Step Random Delays and Losses in Transmission. Sensors 17(5): 1151 (2017)
2016
[j33]
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Raquel Caballero-Águila, I. García-Garrido, Josefa Linares-Pérez:
Quadratic estimation problem in discrete-time stochastic systems with random parameter matrices. Applied Mathematics and Computation 273: 308-320 (2016)
[j32]
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Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez:
Distributed estimation based on covariances under network-induced phenomena described by random measurement matrices. Int. J. General Systems 45(5): 486-501 (2016)
[j31]
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Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez:
Networked Fusion Filtering from Outputs with Stochastic Uncertainties and Correlated Random Transmission Delays. Sensors 16(6): 847 (2016)
[j30]
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Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez:
Fusion estimation using measured outputs with random parameter matrices subject to random delays and packet dropouts. Signal Processing 127: 12-23 (2016)
2015
[j29]
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Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez:
Optimal state estimation for networked systems with random parameter matrices, correlated noises and delayed measurements. Int. J. General Systems 44(2): 142-154 (2015)
2014
[j28]
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Raquel Caballero-Águila, I. García-Garrido, Josefa Linares-Pérez:
Information fusion algorithms for state estimation in multi-sensor systems with correlated missing measurements. Applied Mathematics and Computation 226: 548-563 (2014)
[j27]
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Josefa Linares-Pérez, Raquel Caballero-Águila, I. García-Garrido:
Optimal linear filter design for systems with correlation in the measurement matrices and noises: recursive algorithm and applications. Int. J. Systems Science 45(7): 1548-1562 (2014)
[j26]
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Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez:
Covariance-based estimation algorithms in networked systems with mixed uncertainties in the observations. Signal Processing 94: 163-173 (2014)
2013
[j25]
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  - journals/amc/NakamoriCHL13
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Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez:
RLS Wiener estimators from observations with multiple and random delays in linear discrete-time stochastic systems. Applied Mathematics and Computation 225: 184-194 (2013)
[j24]
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Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez:
Linear estimation based on covariances for networked systems featuring sensor correlated random delays. Int. J. Systems Science 44(7): 1233-1244 (2013)
2012
[j23]
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  - journals/dsp/Caballero-AguilaHL12
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Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez:
Least-squares linear estimators using measurements transmitted by different sensors with packet dropouts. Digital Signal Processing 22(6): 1118-1125 (2012)
[j22]
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Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez:
Recursive least-squares quadratic smoothing from measurements with packet dropouts. Signal Processing 92(4): 931-938 (2012)
2011
[j21]
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  - journals/jsip/NakamoriCHL11
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Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez:
RLS Wiener Predictor with Uncertain Observations in Linear Discrete-Time Stochastic Systems. J. Signal and Information Processing 2(3): 152-158 (2011)
[j20]
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Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez:
Linear and quadratic estimation using uncertain observations from multiple sensors with correlated uncertainty. Signal Processing 91(2): 330-337 (2011)
2010
[j19]
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  - journals/dsp/Caballero-AguilaHJLN10
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Raquel Caballero-Águila, Aurora Hermoso-Carazo, José D. Jiménez-López, Josefa Linares-Pérez, Seiichi Nakamori:
Signal estimation with multiple delayed sensors using covariance information. Digital Signal Processing 20(2): 528-540 (2010)

2000 – 2009

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2009
[j18]
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Raquel Caballero-Águila, Aurora Hermoso-Carazo, José D. Jiménez-López, Josefa Linares-Pérez, Seiichi Nakamori:
Recursive estimation of discrete-time signals from nonlinear randomly delayed observations. Computers & Mathematics with Applications 58(6): 1160-1168 (2009)
[j17]
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Josefa Linares-Pérez, Aurora Hermoso-Carazo, Raquel Caballero-Águila, José D. Jiménez-López:
Least-squares linear filtering using observations coming from multiple sensors with one- or two-step random delay. Signal Processing 89(10): 2045-2052 (2009)
2008
[j16]
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  - journals/amc/Hermoso-CarazoLJCN08
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Aurora Hermoso-Carazo, Josefa Linares-Pérez, José D. Jiménez-López, Raquel Caballero-Águila, Seiichi Nakamori:
Recursive fixed-point smoothing algorithm from covariances based on uncertain observations with correlation in the uncertainty. Applied Mathematics and Computation 203(1): 243-251 (2008)
[j15]
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Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, José D. Jiménez-López, Josefa Linares-Pérez:
Recursive Estimation Algorithm Based on Covariances for Uncertainly Observed Signals Correlated with Noise. IEICE Transactions 91-A(7): 1706-1712 (2008)
[j14]
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Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, José D. Jiménez-López, Josefa Linares-Pérez:
Polynomial fixed-point smoothing of uncertainly observed signals based on covariances. Int. J. Systems Science 39(2): 207-216 (2008)
[j13]
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  - journals/sigpro/Jimenez-LopezLNCH08
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José D. Jiménez-López, Josefa Linares-Pérez, Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo:
Signal estimation based on covariance information from observations featuring correlated uncertainty and coming from multiple sensors. Signal Processing 88(12): 2998-3006 (2008)
2007
[j12]
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Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, J. Jiménez-Carazo, Josefa Linares-Pérez:
Filtering and prediction from uncertain observations with correlated signal and noise via mixture approximations. Signal Processing 87(5): 970-982 (2007)
2006
[j11]
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Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, José D. Jiménez-López, Josefa Linares-Pérez:
Least-squares nuth-order polynomial estimation of signals from observations affected by non-independent uncertainty. Applied Mathematics and Computation 176(2): 642-653 (2006)
2005
[j10]
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Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez:
Recursive estimators of signals from measurements with stochastic delays using covariance information. Applied Mathematics and Computation 162(1): 65-79 (2005)
[j9]
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Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez:
Design of recursive Wiener fixed-point smoothers based on innovations approach in linear discrete-time stochastic systems. Applied Mathematics and Computation 165(3): 731-747 (2005)
[j8]
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Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez:
Fixed-interval smoothing algorithm based on covariances with correlation in the uncertainty. Digital Signal Processing 15(2): 207-221 (2005)
[j7]
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Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez:
New recursive estimators from correlated interrupted observations using covariance information. Int. J. Systems Science 36(10): 617-629 (2005)
2004
[j6]
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Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez:
Quadratic estimation from uncertain observations with white plus coloured noises using covariance information. Applied Mathematics and Computation 155(1): 65-79 (2004)
[c2]
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Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez:
New Derivation of the Filter and Fixed-Interval Smoother with Correlated Uncertain Observations. ICINCO (3) 2004: 203-207
[c1]
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Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez:
Polynomial Estimation of Signals from Uncertain Observations Using Covariance Information. ICINCO (3) 2004: 307-311
2003
[j5]
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Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez:
New design of estimators using covariance information with uncertain observations in linear discrete-time systems. Applied Mathematics and Computation 135(2-3): 429-441 (2003)
[j4]
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Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez:
Second-order polynomial estimators from uncertain observations using covariance information. Applied Mathematics and Computation 143(2-3): 319-338 (2003)
[j3]
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Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez:
Linear estimation from uncertain observations with white plus coloured noises using covariance information. Digital Signal Processing 13(3): 552-568 (2003)
[j2]
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Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez:
Fixed-point smoothing with non-independent uncertainty using covariance information. Int. J. Systems Science 34(7): 439-452 (2003)
[j1]
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Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez:
Linear recursive discrete-time estimators using covariance information under uncertain observations. Signal Processing 83(7): 1553-1559 (2003)

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