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EM-Based channel estimation in OFDM systems with phase noise
Conference ObjectAbstract: In this paper we address the joint estimation of phase noise (PHN) and channel impulse response (CIRPalabras claves:Autores:Carvajal R., Godoy B.I., Goodwin G.C., Juan C. AgüeroFuentes:scopusEM-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 sparse FIR systems having quantized data
Conference ObjectAbstract: In this paper, we explore the identification of sparse FIR systems having quantized output data. OurPalabras claves:EM algorithm, Quantized estimation, regularization, Sparse optimizationAutores:Carvajal R., Godoy B.I., Goodwin G.C., Juan C. Agüero, Yuz J.I.Fuentes:scopusEM-based maximum-likelihood channel estimation in multicarrier systems with phase distortion
ArticleAbstract: In this paper, we address channel-impulse response (CIR) estimation in multicarrier systems with phaPalabras claves:Carrier frequency offset, Channel estimation, Expectation-maximization (EM) algorithm, Maximum likelihood (ML) estimation, multicarrier systems, phase noiseAutores:Carvajal R., Godoy B.I., Goodwin G.C., Juan C. AgüeroFuentes:scopusEM-based sparse channel estimation in OFDM systems
Conference ObjectAbstract: In this paper, we address the problem of estimating sparse communication channels in OFDM systems. WPalabras claves:Autores:Carvajal R., Godoy B.I., Goodwin G.C., Juan C. AgüeroFuentes: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: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 filtering approach for model selection
Conference ObjectAbstract: In this paper, we propose an iterative algorithm to perform model selection. This algorithm is a seqPalabras claves:Autores:Carvajal R., Godoy B.I., Juan C. Agüero, Yuz J.I.Fuentes:scopusA map approach for ℓ<inf>q</inf>-norm regularized sparse parameter estimation using the em algorithm
Conference ObjectAbstract: In this paper, Bayesian parameter estimation through the consideration of the Maximum A Posteriori (Palabras claves:convergence, maximum likelihood estimation, Optimization, Parameter estimation, Probability density function, Signal processing algorithmsAutores:Carvajal R., Godoy B.I., Juan C. Agüero, Katselis D.Fuentes:scopusA model-based feedback control strategy for heap bioleaching processes
Conference ObjectAbstract: In this paper we propose a feedback control strategy to increase the copper recovery in a heap biolePalabras claves:Autores:Braslavsky J.H., Godoy B.I., Juan C. AgüeroFuentes:scopus