Scenario-based EM identification for FIR systems having quantized output data

Title: Scenario-based EM identification for FIR systems having quantized output data
Creator: Agüero, Juan C.; Godoy, Boris I.; Goodwin, Graham C.; Wigren, Torbjörn
Relation: 15th IFAC Symposium on System Identification (SYSID 2009). Proceedings of the 15th IFAC Symposium on System Identification (Saint-Malo, France 6-8 July, 2009) p. 66-71
Publisher Link: http://dx.doi.org/10.3182/20090706-3-FR-2004.00010
Publisher: International Federation of Automatic Control (IFAC)
Resource Type: conference paper
Date: 2009
Description: In this paper we describe a novel algorithm for estimating the parameters of a linear system when the observed output signal is quantized. This question has relevance to many areas including sensor networks and telecommunications. The algorithm utilizes a set of pre-computed scenarios to reduce the computational complexity of EM type algorithms that are typically deployed for this kind of problem. More generally, the idea of utilizing scenarios seems to have widespread potential in system identification.
Subject: system identication; maximum likelihood; quantized signals
Identifier: uon:8941
Identifier: http://hdl.handle.net/1959.13/919673
Identifier: ISBN:9783902661470
Identifier: ISSN:1474-6670
Reviewed

		Thumbnail	File	Description	Size	Format