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Aurora Hermoso-Carazo
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2020 – today
- 2020
- [j71]María J. García-Ligero
, Aurora Hermoso-Carazo
Covariance-based least-squares filtering algorithm under Markovian measurement delays. Int. J. Comput. Math. 97(1-2): 40-50 (2020) - [j70]María J. García-Ligero
Least-squares estimators for systems with stochastic sensor gain degradation, correlated measurement noises and delays in transmission modelled by Markov chains. Int. J. Syst. Sci. 51(4): 731-745 (2020) - [j69]Raquel Caballero-Águila
Networked fusion estimation with multiple uncertainties and time-correlated channel noise. Inf. Fusion 54: 161-171 (2020) - [j68]Raquel Caballero-Águila
A Two-Phase Distributed Filtering Algorithm for Networked Uncertain Systems with Fading Measurements under Deception Attacks. Sensors 20(22): 6445 (2020)
2010 – 2019
- 2019
- [j67]Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
Centralized filtering and smoothing algorithms from outputs with random parameter matrices transmitted through uncertain communication channels. Digit. Signal Process. 85: 77-85 (2019) - [j66]Raquel Caballero-Águila
Centralized, distributed and sequential fusion estimation from uncertain outputs with correlation between sensor noises and signal. Int. J. Gen. Syst. 48(7): 713-737 (2019) - [j65]Raquel Caballero-Águila
A new approach to distributed fusion filtering for networked systems with random parameter matrices and correlated noises. Inf. Fusion 45: 324-332 (2019) - [j64]Raquel Caballero-Águila
Covariance-Based Estimation for Clustered Sensor Networks Subject to Random Deception Attacks. Sensors 19(14): 3112 (2019) - [j63]Raquel Caballero-Águila
Networked distributed fusion estimation under uncertain outputs with random transmission delays, packet losses and multi-packet processing. Signal Process. 156: 71-83 (2019) - [c6]Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez:
Signal Estimation with Random Parameter Matrices and Time-correlated Measurement Noises. ICINCO (1) 2019: 481-487 - [c5]Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez:
Optimal Filtering Algorithm based on Covariance Information using a Sequential Fusion Approach. ICINCO (1) 2019: 587-594 - 2018
- [j62]Raquel Caballero-Águila
Centralized Fusion Approach to the Estimation Problem with Multi-Packet Processing under Uncertainty in Outputs and Transmissions. Sensors 18(8): 2697 (2018) - 2017
- [j61]Raquel Caballero-Águila
Covariance-based fusion filtering for networked systems with random transmission delays and non-consecutive losses. Int. J. Gen. Syst. 46(7): 752-771 (2017) - [j60]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. Syst. Sci. 48(9): 1805-1817 (2017) - [j59]Raquel Caballero-Águila
Distributed fusion filters from uncertain measured outputs in sensor networks with random packet losses. Inf. Fusion 34: 70-79 (2017) - [j58]Raquel Caballero-Águila
Optimal Fusion Estimation with Multi-Step Random Delays and Losses in Transmission. Sensors 17(5): 1151 (2017) - 2016
- [j57]Raquel Caballero-Águila
Distributed estimation based on covariances under network-induced phenomena described by random measurement matrices. Int. J. Gen. Syst. 45(5): 486-501 (2016) - [j56]Raquel Caballero-Águila
Networked Fusion Filtering from Outputs with Stochastic Uncertainties and Correlated Random Transmission Delays. Sensors 16(6): 847 (2016) - [j55]Raquel Caballero-Águila
Fusion estimation using measured outputs with random parameter matrices subject to random delays and packet dropouts. Signal Process. 127: 12-23 (2016) - 2015
- [j54]Raquel Caballero-Águila
Optimal state estimation for networked systems with random parameter matrices, correlated noises and delayed measurements. Int. J. Gen. Syst. 44(2): 142-154 (2015) - [j53]María J. García-Ligero, Aurora Hermoso-Carazo, Josefa Linares-Pérez
Distributed fusion estimation in networked systems with uncertain observations and Markovian random delays. Signal Process. 106: 114-122 (2015) - 2014
- [j52]Raquel Caballero-Águila
Covariance-based estimation algorithms in networked systems with mixed uncertainties in the observations. Signal Process. 94: 163-173 (2014) - 2013
- [j51]Seiichi Nakamori, Raquel Caballero-Águila
RLS Wiener estimators from observations with multiple and random delays in linear discrete-time stochastic systems. Appl. Math. Comput. 225: 184-194 (2013) - [j50]Raquel Caballero-Águila
Linear estimation based on covariances for networked systems featuring sensor correlated random delays. Int. J. Syst. Sci. 44(7): 1233-1244 (2013) - 2012
- [j49]María J. García-Ligero, Aurora Hermoso-Carazo
Distributed and centralized fusion estimation from multiple sensors with Markovian delays. Appl. Math. Comput. 219(6): 2932-2948 (2012) - [j48]Raquel Caballero-Águila
Least-squares linear estimators using measurements transmitted by different sensors with packet dropouts. Digit. Signal Process. 22(6): 1118-1125 (2012) - [j47]Raquel Caballero-Águila
Recursive least-squares quadratic smoothing from measurements with packet dropouts. Signal Process. 92(4): 931-938 (2012) - 2011
- [j46]Aurora Hermoso-Carazo
Nonlinear estimation applying an unscented transformation in systems with correlated uncertain observations. Appl. Math. Comput. 217(20): 7998-8009 (2011) - [j45]María J. García-Ligero, Aurora Hermoso-Carazo
Derivation of centralized and distributed filters using covariance information. Comput. Stat. Data Anal. 55(1): 312-323 (2011) - [j44]María J. García-Ligero, Aurora Hermoso-Carazo
Least-squares linear estimation of signals from observations with Markovian delays. J. Comput. Appl. Math. 236(2): 234-242 (2011) - [j43]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 Inf. Process. 2(3): 152-158 (2011) - [j42]María J. García-Ligero, Aurora Hermoso-Carazo
Estimation for discrete-time systems with multiple packet dropouts using covariance information. Math. Comput. Model. 54(9-10): 2277-2286 (2011) - [j41]Raquel Caballero-Águila
Linear and quadratic estimation using uncertain observations from multiple sensors with correlated uncertainty. Signal Process. 91(2): 330-337 (2011) - 2010
- [j40]Seiichi Nakamori, Aurora Hermoso-Carazo
Design of RLS Wiener estimators from randomly delayed observations in linear discrete-time stochastic systems. Appl. Math. Comput. 217(8): 3801-3815 (2010) - [j39]Raquel Caballero-Águila
Signal estimation with multiple delayed sensors using covariance information. Digit. Signal Process. 20(2): 528-540 (2010) - [j38]Aurora Hermoso-Carazo
Recursive smoothing algorithms for the estimation of signals from uncertain observations via mixture approximations. Int. J. Syst. Sci. 41(6): 647-656 (2010) - [j37]María J. García-Ligero, Aurora Hermoso-Carazo
Derivation of linear estimation algorithms from measurements affected by multiplicative and additive noises. J. Comput. Appl. Math. 234(3): 794-804 (2010)
2000 – 2009
- 2009
- [j36]Raquel Caballero-Águila
Recursive estimation of discrete-time signals from nonlinear randomly delayed observations. Comput. Math. Appl. 58(6): 1160-1168 (2009) - [j35]Josefa Linares-Pérez
Least-squares linear filtering using observations coming from multiple sensors with one- or two-step random delay. Signal Process. 89(10): 2045-2052 (2009) - 2008
- [j34]Aurora Hermoso-Carazo
Recursive fixed-point smoothing algorithm from covariances based on uncertain observations with correlation in the uncertainty. Appl. Math. Comput. 203(1): 243-251 (2008) - [j33]Aurora Hermoso-Carazo
Linear and quadratic least-squares estimation using measurements with correlated one-step random delay. Digit. Signal Process. 18(3): 450-464 (2008) - [j32]Seiichi Nakamori, María J. García-Ligero, Aurora Hermoso-Carazo
Filtering in Generalized Signal-Dependent Noise Model Using Covariance Information. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 91-A(3): 809-817 (2008) - [j31]Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo
Recursive Estimation Algorithm Based on Covariances for Uncertainly Observed Signals Correlated with Noise. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 91-A(7): 1706-1712 (2008) - [j30]Seiichi Nakamori, Raquel Caballero-Águila
Polynomial fixed-point smoothing of uncertainly observed signals based on covariances. Int. J. Syst. Sci. 39(2): 207-216 (2008) - [j29]Seiichi Nakamori, María J. García-Ligero, Aurora Hermoso-Carazo
Filtering of images corrupted by multiplicative and white plus coloured additive noises using covariance information. Math. Comput. Model. 47(3-4): 298-311 (2008) - [j28]José D. Jiménez-López
Signal estimation based on covariance information from observations featuring correlated uncertainty and coming from multiple sensors. Signal Process. 88(12): 2998-3006 (2008) - 2007
- [j27]Aurora Hermoso-Carazo
Different approaches for state filtering in nonlinear systems with uncertain observations. Appl. Math. Comput. 187(2): 708-724 (2007) - [j26]Aurora Hermoso-Carazo
Extended and unscented filtering algorithms using one-step randomly delayed observations. Appl. Math. Comput. 190(2): 1375-1393 (2007) - [j25]Seiichi Nakamori, Aurora Hermoso-Carazo
Design of fixed-lag smoother using covariance information based on innovations approach in linear discrete-time stochastic systems. Appl. Math. Comput. 193(1): 162-174 (2007) - [j24]Seiichi Nakamori, Aurora Hermoso-Carazo
Suboptimal estimation of signals from uncertain observations using approximations of mixtures. Digit. Signal Process. 17(1): 4-16 (2007) - [j23]Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo
Filtering and prediction from uncertain observations with correlated signal and noise via mixture approximations. Signal Process. 87(5): 970-982 (2007) - 2006
- [j22]Seiichi Nakamori, Raquel Caballero-Águila
Least-squares nuth-order polynomial estimation of signals from observations affected by non-independent uncertainty. Appl. Math. Comput. 176(2): 642-653 (2006) - [j21]Seiichi Nakamori, María J. García-Ligero, Aurora Hermoso-Carazo
Derivation of fixed-interval smoothing algorithm using covariance information in distributed parameter systems. Appl. Math. Comput. 176(2): 662-672 (2006) - [j20]Seiichi Nakamori, Aurora Hermoso-Carazo
A general smoothing equation for signal estimation using randomly delayed observations in the correlated signal-noise case. Digit. Signal Process. 16(4): 369-388 (2006) - [j19]Seiichi Nakamori, Aurora Hermoso-Carazo
Least-Squares Linear Smoothers from Randomly Delayed Observations with Correlation in the Delay. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 89-A(2): 486-493 (2006) - [j18]Seiichi Nakamori, Aurora Hermoso-Carazo
Linear estimation using covariance information in distributed parameter systems with non-independent uncertainty. Signal Process. 86(10): 3012-3020 (2006) - 2005
- [j17]Seiichi Nakamori, Raquel Caballero-Águila
Recursive estimators of signals from measurements with stochastic delays using covariance information. Appl. Math. Comput. 162(1): 65-79 (2005) - [j16]Seiichi Nakamori, Raquel Caballero-Águila
Design of recursive Wiener fixed-point smoothers based on innovations approach in linear discrete-time stochastic systems. Appl. Math. Comput. 165(3): 731-747 (2005) - [j15]Seiichi Nakamori, Raquel Caballero-Águila
Fixed-interval smoothing algorithm based on covariances with correlation in the uncertainty. Digit. Signal Process. 15(2): 207-221 (2005) - [j14]Seiichi Nakamori, Aurora Hermoso-Carazo
Fixed-Lag Smoothing Algorithm under Non-independent Uncertainty. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 88-A(4): 988-995 (2005) - [j13]Seiichi Nakamori, Raquel Caballero-Águila
New recursive estimators from correlated interrupted observations using covariance information. Int. J. Syst. Sci. 36(10): 617-629 (2005) - [j12]Seiichi Nakamori, Aurora Hermoso-Carazo
Quadratic Estimation of Multivariate Signals from Randomly Delayed Measurements. Multidimens. Syst. Signal Process. 16(4): 417-438 (2005) - 2004
- [j11]Seiichi Nakamori, Aurora Hermoso-Carazo
Chandrasekhar-type filter for a wide-sense stationary signal from uncertain observations using covariance information. Appl. Math. Comput. 151(2): 315-325 (2004) - [j10]Seiichi Nakamori, Aurora Hermoso-Carazo
Fixed-interval smoothing problem from uncertain observations with correlated signal and noise. Appl. Math. Comput. 154(1): 239-255 (2004) - [j9]Seiichi Nakamori, Raquel Caballero-Águila
Quadratic estimation from uncertain observations with white plus coloured noises using covariance information. Appl. Math. Comput. 155(1): 65-79 (2004) - [c4]Seiichi Nakamori, Aurora Hermoso-Carazo, Josefa Linares-Pérez, María Isabel Sánchez-Rodríguez:
Estimation Algorithm from Randomly Delayed Observations with White Plus Coloured Noises. ICINCO (3) 2004: 19-23 - [c3]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 - [c2]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 - [c1]Seiichi Nakamori, Aurora Hermoso-Carazo, José D. Jiménez-López, Josefa Linares-Pérez:
Continuous-Time Signal Filtering from Non-Independent Uncertain Observations. ICINCO (3) 2004: 324-327 - 2003
- [j8]Seiichi Nakamori, Raquel Caballero-Águila
New design of estimators using covariance information with uncertain observations in linear discrete-time systems. Appl. Math. Comput. 135(2-3): 429-441 (2003) - [j7]Seiichi Nakamori, Raquel Caballero-Águila
Second-order polynomial estimators from uncertain observations using covariance information. Appl. Math. Comput. 143(2-3): 319-338 (2003) - [j6]Seiichi Nakamori, Raquel Caballero-Águila
Linear estimation from uncertain observations with white plus coloured noises using covariance information. Digit. Signal Process. 13(3): 552-568 (2003) - [j5]Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez:
Second-Order Polynomial Estimators from Non-independent Uncertain Observations Using Covariance Information. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 86-A(5): 1240-1248 (2003) - [j4]Seiichi Nakamori, Raquel Caballero-Águila
Fixed-point smoothing with non-independent uncertainty using covariance information. Int. J. Syst. Sci. 34(7): 439-452 (2003) - [j3]Seiichi Nakamori, Raquel Caballero-Águila
Linear recursive discrete-time estimators using covariance information under uncertain observations. Signal Process. 83(7): 1553-1559 (2003)
1990 – 1999
- 1995
- [j2]Aurora Hermoso-Carazo
Linear smoothing for discrete-time systems in the presence of correlated disturbances and uncertain observations. IEEE Trans. Autom. Control. 40(8): 1486-1488 (1995) - 1994
- [j1]Aurora Hermoso-Carazo
Linear estimation for discrete-time systems in the presence of time-correlated disturbances and uncertain observations. IEEE Trans. Autom. Control. 39(8): 1636-1638 (1994)
Coauthor Index
[j71] [j70] [j69] [j68] [j67] [j66] [j65] [j64] [j63] [c6] [c5] [j62] [j61] [j60] [j59] [j58] [j57] [j56] [j55] [j54] [j53] [j52] [j51] [j50] [j49] [j48] [j47] [j46] [j45] [j44] [j43] [j42] [j41] [j40] [j39] [j38] [j37] [j36] [j35] [j34] [j33] [j32] [j31] [j30] [j29] [j28] [j27] [j26] [j25] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [c4] [c3] [c2] [c1] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [j1]
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