Identification of sparse FIR systems using a general quantisation scheme

Boris I. Godoy, Juan C. Agüero, Rodrigo Carvajal, Graham C. Goodwin, Juan I. Yuz

Resultado de la investigación: Contribución a una revistaArtículorevisión exhaustiva

25 Citas (Scopus)

Resumen

This paper presents an identification scheme for sparse FIR systems with quantised data. We consider a general quantisation scheme, which includes the commonly deployed static quantiser as a special case. To tackle the sparsity issue, we utilise a Bayesian approach, where an ℓ1 a priori distribution for the parameters is used as a mechanism to promote sparsity. The general framework used to solve the problem is maximum likelihood (ML). The ML problem is solved by using a generalised expectation maximisation algorithm.

Idioma originalInglés
Páginas (desde-hasta)874-886
Número de páginas13
PublicaciónInternational Journal of Control
Volumen87
N.º4
DOI
EstadoPublicada - 3 abr. 2014
Publicado de forma externa

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