An errors-in-variables method for non-stationary data with application to mineral exploration

Title: An errors-in-variables method for non-stationary data with application to mineral exploration
Creator: Lau, K.; Braslavsky, J. H.; Agüero, J. C.; Goodwin, G. C.
Relation: Automatica Vol. 45, Issue 12, p. 2971-2976
Publisher Link: http://dx.doi.org/10.1016/j.automatica.2009.10.009
Publisher: Elsevier
Resource Type: journal article
Date: 2009
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.
Subject: errors-in-variables identification; non-stationary signals; noise cancellation
Identifier: http://hdl.handle.net/1959.13/916532
Identifier: uon:8020
Identifier: ISSN:0005-1098
Language: eng
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