Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/919673

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Title
Scenario-based EM identification for FIR systems having quantized output data
Author/Creator
Agüero, Juan C.;  Godoy, Boris I.;  Goodwin, Graham C.;  Wigren, Torbjörn
Institution
The University of Newcastle. Faculty of Engineering & Built Environment, School of Electrical Engineering and Computer Science
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.
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
Date
2009
Publisher
International Federation of Automatic Control (IFAC)
Keyword(s)
system identication;  maximum likelihood;  quantized signals
Resource Type
conference paper
Identifier
http://hdl.handle.net/1959.13/919673
Identifier
ISBN:9783902661470
Identifier
ISSN:1474-6670
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"Scenario-based EM identification for FIR systems having quantized output data"
 
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