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

Automatica

Volumn 45, Issue 12, 2009, Pages 2971-2976

  Lau, K ^a   Braslavsky, J H ^a   Aguero J C ^a   Goodwin, G C ^a  

^a UNIVERSITY OF NEWCASTLE   (Australia)

Author keywords

Errors in variables identification; Noise cancellation; Non stationary signals

Indexed keywords

ALTERNATIVE METHODS; ERRORS IN VARIABLES; EXPERIMENTAL DATA; MODEL ESTIMATION; NOISE CANCELLATION; NONSTATIONARY; NONSTATIONARY DATA; NONSTATIONARY SIGNALS; OTHER APPLICATIONS; PERFORMANCE COMPARISON; SIGNAL CHARACTERISTIC; TRANSIENT ELECTROMAGNETICS;

ERRORS; GEOLOGICAL SURVEYS; MINERAL EXPLORATION; MINERALS; SILICATE MINERALS;

SPURIOUS SIGNAL NOISE;

EID: 70449637195     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.automatica.2009.10.009     Document Type: Article

References (16)

1. Agüero, J. C., & Goodwin, G. C. (2008a). Identifiability of EIV dynamic systems with non-stationary data. In Proc. of the 17th IFAC world congress (pp. 444-449)
2. Agüero J.C., and Goodwin G.C. Identifiability of errors in variables dynamic systems. Automatica 44 2 (2008) 371-382
3. Anderson B.D.O. Identification of scalar errors-in-variables models with dynamics. Automatica 21 6 (1985) 709-716
4. Anderson B.D.O., and Deistler M. Identifiability in dynamic errors-in-variables model. Journal of Time Series Analysis 5 1 (1984) 001-013
5. Carter R.A. Exploration by the numbers. Engineering and Mining Journal 206 5 (2005) 34-38
6. Christian H.J., Blakeslee R.J., Boccippio D.J., Boeck W.L., Buechler D.E., Driscoll K., et al. Global frequency and distribution of lightning as observed from space by the optical transient detector. Journal of Geophysical Research 108 (2003) ACL4-1-15
7. Deistler M. Linear dynamic errors-in-variables models. In: Gani J., and Priestley M.B. (Eds). Essays in time series and allied processes. Journal of Applied Probability 23 A (1986) 23-39
8. Kearey P., Brooks M., and Hill I. An introduction to geophysical exploration. 3rd ed. (2002), Blackwell Science
9. Lau, K., Braslavsky, J.H., Agüero, J.C., & Goodwin, G.C. (2008). Application of non-stationary EIV methods to transient electromagnetic mineral exploration. In Proc. of the 17th IFAC world congress (pp. 438-443)
10. Lau, K., Braslavsky, J.H., & Goodwin, G.C. (2007). Errors-in-variables problems in transient electromagnetic mineral exploration. In Proc. of the 46th IEEE conf. on decision and control
11. Markovsky, I., Kukush, A., & Van Huffel, S. (2006). On errors-in-variables estimation with unknown noise variance ratio. In Preprints of the 14th IFAC symp. on system identification (pp. 172-177)
12. Nabighian M.N., and Macnae J.C. Time domain electromagnetic prospecting methods. In: Nabighian M.N. (Ed). Electromagnetic methods in applied geophysics Vol. 2, application, Part A. (1991), Society of Exploration Geophysics 427-520
13. Söderström T. Discrete-time stochastic systems: Estimation and control. 2nd ed. (2002), Springer-Verlag
14. Söderström T. Errors-in-variables methods in system identification. Automatica 43 6 (2007) 939-958
15. U.S. Army. Geophysical exploration for engineering and environmental investigations. Technical engineering and design guides as adapted from the US Army Corps of Engineers No. 23 (1998), ASCE Press
16. Wald A. The fitting of straight lines if both variables are subject to error. American Mathematical Statistics: Series B 11 3 (1940) 284-300