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2015 7th IEEE Latin-American Conference on Communications, LATINCOM 2015(1)
2015 European Control Conference, ECC 2015(1)
2016 IEEE Conference on Control Applications, CCA 2016(1)
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IEEE International Workshop on Machine Learning for Signal Processing, MLSP(1)
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scopus(6)
A data augmentation approach for a class of statistical inference problems
ArticleAbstract: We present an algorithm for a class of statistical inference problems. The main idea is to reformulaPalabras claves:Autores:Carvajal R., Escarate P., Juan C. Agüero, Katselis D., Orellana R.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: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:scopusOn experiment design for single carrier and multicarrier systems
Conference ObjectAbstract: In this paper, the problem of experiment design in single input single output (SISO) single carrierPalabras claves:experiment design, Least squares, multicarrier systems, training sequenceAutores:Godoy B.I., Juan C. Agüero, Katselis D., Rojas C.R.Fuentes:scopusOn the end-performance metric estimator selection
ArticleAbstract: It is well known that appropriately biasing an estimator can potentially lead to a lower mean squarePalabras claves:Bias selection, End-performance metric, Estimation, Least squares, Maximum likelihoodAutores:Beck C.L., Godoy B.I., Juan C. Agüero, Katselis D., Rojas C.R.Fuentes:scopusSparse Logistic Regression utilizing Cardinality Constraints and Information Criteria
Conference ObjectAbstract: In this paper we address the problem of estimating a sparse parameter vector that defines a logisticPalabras claves:Autores:Carvajal R., Delgado R.A., Juan C. Agüero, Katselis D., Urrutia G.Fuentes:scopus