José D. Jiménez-López

Orcid: 0000-0003-1263-5508

Affiliations:
  • 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.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Proper Processing of $\beta$-Quaternion Wide-Sense Markov Signals From Randomly Lost Observations.
IEEE Signal Process. Lett., 2024

Biased regression algorithms in the quaternion domain.
J. Frankl. Inst., 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

Proper adaptive filtering in four-dimensional Cayley-Dickson algebras.
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
Tessarine signal processing under the T-properness condition.
J. Frankl. Inst., 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

Estimation of Widely Factorizable Hypercomplex Signals with Uncertain Observations.
Proceedings of the IEEE International Conference on Acoustics, 2019

2017
Widely linear estimation of quaternion signals with intermittent observations.
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

Signal estimation with multiple delayed sensors using covariance information.
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


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