33 citations · 43 across the 6 of their papers we have counts for
6 papers
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 method to deconvolve stellar rotational velocities III. The probability distribution function via Maximum Likelihood utilizing Finite Distribution Mixtures
Rafael Orellana, Pedro Escarate, Michel Cure +3
The study of accurate methods to estimate the distribution of stellar rotational velocities is important for understanding many aspects of stellar evolution. From such observations…
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 method to deconvolve stellar rotational velocities
Michel Cure, Diego F. Rial, Alejandra Christen +1
Rotational speed is an important physical parameter of stars and knowing the distribution of stellar rotational velocities is essential for the understanding stellar evolution. How…
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…