1 citations · 3 across the 6 of their papers we have counts for
6 papers
An EM Algorithm for Lebesgue-sampled State-space Continuous-time System Identification
Rodrigo A. González, Angel L. Cedeño, María Coronel +2
This paper concerns the identification of continuous-time systems in state-space form that are subject to Lebesgue sampling. Contrary to equidistant (Riemann) sampling, Lebesgue sa…
On Recursive State Estimation for Linear State-Space Models Having Quantized Output Data
Angel L. Cedeño, Ricardo Albornoz, Boris I. Godoy +2
In this paper, we study the problem of estimating the state of a dynamic state-space system where the output is subject to quantization. We compare some classical approaches and a…
A systematic optimization approach for a class of statistical inference problems utilizing data augmentation
Rodrigo Carvajal, Rafael Orellana, Dimitrios Katselis +2
We present an algorithm for a class of statistical inference problems. The main idea is to reformulate the inference problem as an optimization procedure, based on the generation o…
A MAP approach for -norm regularized sparse parameter estimation using the EM algorithm
Rodrigo Carvajal, Juan C. Agüero, Boris I. Godoy +1
In this paper, Bayesian parameter estimation through the consideration of the Maximum A Posteriori (MAP) criterion is revisited under the prism of the Expectation-Maximization (EM)…
A novel representation of rank constraints for non-square real matrices
Ramón A. Delgado, Juan C. Agüero, Graham C. Goodwin
We present a novel representation of rank constraints for non-square real matrices. We establish relationships with some existing results, which are particular cases of our represe…
A Bayesian approach to sparse channel estimation in OFDM systems
Rodrigo Carvajal, Boris I. Godoy, Juan C. Agüero
In this work, we address the problem of estimating sparse communication channels in OFDM systems in the presence of carrier frequency offset (CFO) and unknown noise variance. To th…