Continuous-Time Signal Filtering from Non-Independent Uncertain Observations. - Seiichi Nakamori; Aurora Hermoso-Carazo; José D. Jiménez-López; Josefa Linares-Pérez (ICINCO (3), 2004)

Chandrasekhar-type filter for a wide-sense stationary signal from uncertain observations using covariance information. - Seiichi Nakamori; Aurora Hermoso-Carazo; José D. Jiménez-López; Josefa Linares-Pérez (Appl. Math. Comput., 2004)

Least-squares nuth-order polynomial estimation of signals from observations affected by non-independent uncertainty. - Seiichi Nakamori; Raquel Caballero-Águila; Aurora Hermoso-Carazo; José D. Jiménez-López; Josefa Linares-Pérez (Appl. Math. Comput., 2006)

Filtering and prediction from uncertain observations with correlated signal and noise via mixture approximations. - Seiichi Nakamori; Raquel Caballero-Águila; Aurora Hermoso-Carazo; José D. Jiménez-López; Josefa Linares-Pérez (Signal Process., 2007)

Recursive fixed-point smoothing algorithm from covariances based on uncertain observations with correlation in the uncertainty. - Aurora Hermoso-Carazo; Josefa Linares-Pérez; José D. Jiménez-López; Raquel Caballero-Águila; Seiichi Nakamori (Appl. Math. Comput., 2008)

Recursive Estimation Algorithm Based on Covariances for Uncertainly Observed Signals Correlated with Noise. - Seiichi Nakamori; Raquel Caballero-Águila; Aurora Hermoso-Carazo; José D. Jiménez-López; Josefa Linares-Pérez (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2008)

Polynomial fixed-point smoothing of uncertainly observed signals based on covariances. - Seiichi Nakamori; Raquel Caballero-Águila; Aurora Hermoso-Carazo; José D. Jiménez-López; Josefa Linares-Pérez (Int. J. Syst. Sci., 2008)

Signal estimation based on covariance information from observations featuring correlated uncertainty and coming from multiple sensors. - José D. Jiménez-López; Josefa Linares-Pérez; Seiichi Nakamori; Raquel Caballero-Águila; Aurora Hermoso-Carazo (Signal Process., 2008)

Recursive estimation of discrete-time signals from nonlinear randomly delayed observations. - Raquel Caballero-Águila; Aurora Hermoso-Carazo; José D. Jiménez-López; Josefa Linares-Pérez; Seiichi Nakamori (Comput. Math. Appl., 2009)

Least-squares linear filtering using observations coming from multiple sensors with one- or two-step random delay. - Josefa Linares-Pérez; Aurora Hermoso-Carazo; Raquel Caballero-Águila; José D. Jiménez-López (Signal Process., 2009)

Signal estimation with multiple delayed sensors using covariance information. - Raquel Caballero-Águila; Aurora Hermoso-Carazo; José D. Jiménez-López; Josefa Linares-Pérez; Seiichi Nakamori (Digit. Signal Process., 2010)

Recursive smoothing algorithms for the estimation of signals from uncertain observations via mixture approximations. - Aurora Hermoso-Carazo; José D. Jiménez-López; Josefa Linares-Pérez (Int. J. Syst. Sci., 2010)

A semi-widely linear filtering algorithm for ℂη-proper quaternion signals based on randomly modeled observations. - José D. Jiménez-López; Rosa María Fernández-Alcalá; Jesús Navarro-Moreno; Juan Carlos Ruiz-Molina (SPAWC, 2016)

Widely linear estimation of quaternion signals with intermittent observations. - José D. Jiménez-López; Rosa M. Fernández-Alcalá; Jesús Navarro-Moreno; Juan Carlos Ruiz-Molina (Signal Process., 2017)

Estimation of Widely Factorizable Hypercomplex Signals with Uncertain Observations. - Rosa M. Fernández-Alcalá; José D. Jiménez-López; Jesús Navarro-Moreno; Juan Carlos Ruiz-Molina; Nicolas Le Bihan (ICASSP, 2019)

Widely linear estimation for multisensor quaternion systems with mixed uncertainties in the observations. - Jesús Navarro-Moreno; Rosa María Fernández-Alcalá; José D. Jiménez-López; Juan Carlos Ruiz-Molina (J. Frankl. Inst., 2019)

Semi-widely linear estimation algorithms of quaternion signals with missing observations and correlated noises. - Rosa María Fernández-Alcalá; Jesús Navarro-Moreno; José D. Jiménez-López; Juan Carlos Ruiz-Molina (J. Frankl. Inst., 2020)

Tessarine signal processing under the T-properness condition. - Jesús Navarro-Moreno; Rosa María Fernández-Alcalá; José D. Jiménez-López; Juan Carlos Ruiz-Molina (J. Frankl. Inst., 2020)

Optimal Prediction of Tessarine Signals from Multi-sensor Uncertain Observations under Tk-Properness Conditions. - José D. Jiménez-López; Rosa María Fernández-Alcalá; Jesús Navarro-Moreno; Juan Carlos Ruiz-Molina (ICINCO, 2022)

The Distributed Fusion Filtering Problem Of Tessarine Signals From Multisensor Observations Affected With Packet Dropouts. - José D. Jiménez-López; Rosa M. Fernández-Alcalá; Jesús Navarro-Moreno; Juan Carlos Ruiz-Molina (MLSP, 2023)

Proper adaptive filtering in four-dimensional Cayley-Dickson algebras. - Jesús Navarro-Moreno; Rosa María Fernández-Alcalá; José Domingo Jiménez-López; Juan Carlos Ruiz-Molina (J. Frankl. Inst., 2023)

An Optimal Linear Fusion Estimation Algorithm of Reduced Dimension for T-Proper Systems with Multiple Packet Dropouts. - Rosa M. Fernández-Alcalá; José D. Jiménez-López; Nicolas Le Bihan; Clive Cheong Took (Sensors, 2023)

A $ mathbb{T} - text{Proper}$ Karhunen-Loeve Expansion and its Application to the Problem of Simulation. - Rosa M. Fernández-Alcalá; Jesús Navarro-Moreno; José D. Jiménez-López; Clive Cheong Took; Juan Carlos Ruiz-Molina (MLSP, 2024)

β-Quaternion Centralized Fusion Estimation Problem Under First-Order Properness Conditions. - José D. Jiménez-López; Rosa M. Fernández-Alcalá; Jesús Navarro-Moreno; Juan Carlos Ruiz-Molina; Eleonora Grassucci; Danilo Comminiello (RTSI, 2024)

Biased regression algorithms in the quaternion domain. - Rosa María Fernández-Alcalá; José Domingo Jiménez-López; Jesús Navarro-Moreno; Juan Carlos Ruiz-Molina (J. Frankl. Inst., 2024)

Proper Processing of $ beta$-Quaternion Wide-Sense Markov Signals From Randomly Lost Observations. - José D. Jiménez-López; Jesús Navarro-Moreno; Rosa M. Fernández-Alcalá; Juan Carlos Ruiz-Molina (IEEE Signal Process. Lett., 2024)

Quaternion kernel partial least squares regression algorithms. - José Domingo Jiménez-López; Rosa María Fernández-Alcalá; Jesús Navarro-Moreno; Juan Carlos Ruiz-Molina (J. Frankl. Inst., 2025)