José D. Jiménez-López
Orcid: 0000-0003-1263-5508Affiliations:
- University of Jaén, Department of Statistics and Operations Research, Spain
According to our database1,
José D. Jiménez-López
authored at least 26 papers
between 2004 and 2024.
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Bibliography
2024
Proper Processing of $\beta$-Quaternion Wide-Sense Markov Signals From Randomly Lost Observations.
IEEE Signal Process. Lett., 2024
β-Quaternion Centralized Fusion Estimation Problem Under First-Order Properness Conditions.
Proceedings of the 8th IEEE Forum on Research and Technologies for Society and Industry Innovation, 2024
A $\mathbb{T} -\text{Proper}$ Karhunen-Loeve Expansion and its Application to the Problem of Simulation.
Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024
2023
An Optimal Linear Fusion Estimation Algorithm of Reduced Dimension for T-Proper Systems with Multiple Packet Dropouts.
Sensors, 2023
J. Frankl. Inst., 2023
The Distributed Fusion Filtering Problem Of Tessarine Signals From Multisensor Observations Affected With Packet Dropouts.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023
2022
Optimal Prediction of Tessarine Signals from Multi-sensor Uncertain Observations under Tk-Properness Conditions.
Proceedings of the 19th International Conference on Informatics in Control, 2022
2020
Semi-widely linear estimation algorithms of quaternion signals with missing observations and correlated noises.
J. Frankl. Inst., 2020
2019
Widely linear estimation for multisensor quaternion systems with mixed uncertainties in the observations.
J. Frankl. Inst., 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
2017
Signal Process., 2017
2016
A semi-widely linear filtering algorithm for ℂ<sup>η</sup>-proper quaternion signals based on randomly modeled observations.
Proceedings of the 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2016
2010
Recursive smoothing algorithms for the estimation of signals from uncertain observations via mixture approximations.
Int. J. Syst. Sci., 2010
Digit. Signal Process., 2010
2009
Least-squares linear filtering using observations coming from multiple sensors with one- or two-step random delay.
Signal Process., 2009
Recursive estimation of discrete-time signals from nonlinear randomly delayed observations.
Comput. Math. Appl., 2009
2008
Signal estimation based on covariance information from observations featuring correlated uncertainty and coming from multiple sensors.
Signal Process., 2008
Polynomial fixed-point smoothing of uncertainly observed signals based on covariances.
Int. J. Syst. Sci., 2008
Recursive Estimation Algorithm Based on Covariances for Uncertainly Observed Signals Correlated with Noise.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2008
Recursive fixed-point smoothing algorithm from covariances based on uncertain observations with correlation in the uncertainty.
Appl. Math. Comput., 2008
2007
Filtering and prediction from uncertain observations with correlated signal and noise via mixture approximations.
Signal Process., 2007
2006
Least-squares nuth-order polynomial estimation of signals from observations affected by non-independent uncertainty.
Appl. Math. Comput., 2006
2004
Chandrasekhar-type filter for a wide-sense stationary signal from uncertain observations using covariance information.
Appl. Math. Comput., 2004
Continuous-Time Signal Filtering from Non-Independent Uncertain Observations.
Proceedings of the ICINCO 2004, 2004