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FIRST ORDER REVERSAL CURVES DIAGRAM DEDUCED BY A SHEPARD METHOD FOR BIVARIATE INTERPOLATION OF SCATTERED DATA

L. Clime1,* , A. Stancu2, P. Ciureanu1, A. Yelon1

Affiliation

  1. École Polytechnique Montréal, Montréal, Québec, H3C 3A7, Canada
  2. Alexandru Ioan Cuza" University, Faculty of Physics, Blvd. Carol I, 11, Iasi, 700506, Romania

Abstract

A new identification strategy of the distribution in Preisach-type models is described in this paper. The mixed second derivative of the First Order Reversal Curves (FORC) is evaluated after an interpolation in the weighted least-squares sense and a Shepard interpolation method is applied in order to replace the initial irregular grid with a regular one. The main advantages of this strategy are that it can deal with FORC curves on irregular grids and when the experimental errors are important, the weighted least-squares sense of this method increases the precision of the FORC diagram. The parameter set values given in this paper have been established using FORC curves obtained by simulations with a Complete Moving-Hysteresis model on known Preisach distributions..

Keywords

FORC, FORC diagram, Preisach model, Shepard algorithm, Irregular grids.

Submitted at: April 19, 2004
Accepted at: June 22, 2004

Citation

L. Clime, A. Stancu, P. Ciureanu, A. Yelon, FIRST ORDER REVERSAL CURVES DIAGRAM DEDUCED BY A SHEPARD METHOD FOR BIVARIATE INTERPOLATION OF SCATTERED DATA, Journal of Optoelectronics and Advanced Materials Vol. 6, Iss. 3, pp. 1005-1008 (2004)