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IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2019(7)
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IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC(2)
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Empirical Bayes estimation utilizing finite Gaussian Mixture Models
Conference ObjectAbstract: In this paper we develop an identification algorithm to obtain an estimation of the prior distributiPalabras claves:Bayesian inference, Empirical Bayes, ExpectationMaximization, Gaussian Mixture, Prior distributionAutores:Carvajal R., Juan C. Agüero, Orellana R.Fuentes:scopusEM-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 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 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 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 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:scopusDisturbance modelling for minimum variance control in adaptive optics systems using wavefront sensor sampled-data
ArticleAbstract: Modern large telescopes are built based on the effectiveness of adaptive optics systems in mitigatinPalabras claves:Adaptive optics, disturbances, identification, Minimum variance controller, modelling, Wavefront sensor, Whittle’s likelihoodAutores:Carvajal R., Coronel M., Escarate P., Juan C. AgüeroFuentes:scopus