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Proceedings of the IEEE Conference on Decision and Control(2)
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scopus(17)
EM-based ML channel estimation in OFDM systems with phase distortion using RB-EKF
Conference ObjectAbstract: In this paper we address the joint estimation of the channel impulse response in orthogonal frequencPalabras claves:Autores:Carvajal R., Creixell W., Godoy B.I., Juan C. Agüero, Yuz J.I.Fuentes:scopusEM-based identification of ARX systems having quantized output data
Conference ObjectAbstract: In this paper we develop a novel algorithm to identify an auto-regressive with exogenous signal systPalabras claves:Autores:Carvajal R., González K., Juan C. AgüeroFuentes:scopusEM-based identification of static errors-in-variables systems utilizing Gaussian Mixture models
Conference ObjectAbstract: In this paper we address the problem of identifying a static errors-in-variables system. Our proposaPalabras claves:Errors-in-Variables, Estimation, Expectation-maximization, Gaussian Mixture, Maximum likelihood, OptimizationAutores:Carvajal R., Cedeno A.L., Juan C. Agüero, Orellana R.Fuentes:scopusEM-based sparse channel estimation in OFDM systems with ℓ<inf>q</inf>-norm regularization in the presence of phase noise and frequency offset
Conference ObjectAbstract: In this paper, we consider the problem of estimating sparse communication channels in orthogonal frePalabras claves:Autores:Carvajal R., Godoy B.I., Juan C. Agüero, Katselis D.Fuentes:scopusConnections between incremental and continuous-time EM algorithm for state space identification
Conference ObjectAbstract: The EM algorithm has been successfully applied to obtain maximum likelihood estimates for state-spacPalabras claves:EM algorithm, Incremental models, Maximum likelihood, Sampled data, State-space identificationAutores:Alfaro J.A., Goodwin G.C., Juan C. Agüero, Yuz J.I.Fuentes:scopusA 2-step algorithm for the estimation of time-varying single particle tracking models using Maximum Likelihood
Conference ObjectAbstract: Single particle tracking (SPT) is a powerful class of methods for studying the dynamics of biomolecuPalabras claves:Autores:Andersson S.B., Godoy B.I., Juan C. Agüero, Lin Y.Fuentes:scopusA Gaussian Sum Smoothing algorithm for Hammerstein-Wiener State-Space Systems
Conference ObjectAbstract: In this paper, we develop a novel Bayesian smoothing method for obtaining the smoothed probability dPalabras claves:Gaussian sum smoother, Hammerstein-Wiener systems, State Estimation, Two-filter formulaAutores:Carvajal R., Cedeno A.L., Juan C. AgüeroFuentes:scopusA Novel Bayesian Filtering Method for Systems with Quantized Output Data
Conference ObjectAbstract: In this paper we develop a novel scheme for state estimation of discrete-time linear time-invariantPalabras claves:Gaussian sum approximation, Quantized data, State EstimationAutores:Albornoz R., Carvajal R., Juan C. AgüeroFuentes:scopusA neural approximation to the explicit solution of constrained linear MPC
Conference ObjectAbstract: The solution to constrained linear model predictive control (MPC) problems can be pre-computed off-lPalabras claves:Approximation, Constrained linear control, Explicit solution, Model Pbkp_redictive Control, Neural networksAutores:Goodwin G.C., Haimovich H., Juan C. Agüero, Seron M.M.Fuentes:scopusA novel approach to model error modelling using the expectation- maximization algorithm
Conference ObjectAbstract: In this paper we develop a novel approach to model error modelling. There are natural links to otherPalabras claves:EM algorithm, model error modelling, system identificationAutores:Carvajal R., Delgado R.A., Goodwin G.C., Juan C. AgüeroFuentes:scopus