@inproceedings{6032818137a6404c8e9f1bd298e9ac23,
title = "An EM-based estimation algorithm for a class of systems promoting sparsity",
abstract = "In this paper we propose a Maximum a Posteriori (MAP) approach for estimating a random sparse parameter vector in the presence of nonlinearities of unknown parameters. In this Bayesian approach, the a priori probability distribution for the parameter vector is utilised as a mechanism to promote sparsity. We solve this identification problem by using a generalized Expectation Maximization algorithm in a MAP framework.",
author = "Godoy, {Boris I.} and Rodrigo Carvajal and Aguero, {Juan C.}",
year = "2013",
doi = "10.23919/ecc.2013.6669839",
language = "English",
isbn = "9783033039629",
series = "2013 European Control Conference, ECC 2013",
publisher = "IEEE Computer Society",
pages = "2398--2403",
booktitle = "2013 European Control Conference, ECC 2013",
note = "2013 12th European Control Conference, ECC 2013 ; Conference date: 17-07-2013 Through 19-07-2013",
}