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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/916532

Title: An errors-in-variables method for non-stationary data with application to mineral exploration
Author/Creator: Lau, K.; Braslavsky, J. H.; Agüero, J. C.; Goodwin, G. C.
Institution: The University of Newcastle. Faculty of Engineering & Built Environment, School of Electrical Engineering and Computer Science
Description: In this paper, an errors-in-variables (EIV) method is applied to the problem of model estimation for noise cancellation in transient electromagnetic mineral exploration. The algorithm exploits the non-stationary nature of the data. Alternative methods for noise cancellation in these systems rely on specific signal characteristics, and are thus less readily transferable to other applications. The proposed method produces a model that agrees well with those obtained by alternative methods and has similar noise cancellation performance. This is shown by performance comparisons on experimental data.
Relation: Automatica Vol. 45, Issue 12, p. 2971-2976
Publisher Link: http://dx.doi.org/10.1016/j.automatica.2009.10.009
Date: 2009
Publisher: Elsevier
Keyword(s): errors-in-variables identification; non-stationary signals; noise cancellation
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.13/916532
Identifier: ISSN:0005-1098

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