%0 Journal Article
%@ 03029743
%A Daud, H.
%A Sagayan, V.
%A Yahya, N.
%A Najwati, W.
%C Kuala Lumpur
%D 2009
%F scholars:625
%J Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
%K Comparative studies; E-M waves; First order; Matlab- software; Numerical techniques; Polynomial curve fitting; Regression splines; Second orders; Spline interpolation; Statistical models; Sum square error, Curve fitting; Interpolation; MATLAB; Polynomial approximation; Regression analysis; Splines, Electromagnetic waves
%P 686-695
%R 10.1007/978-3-642-05036-7₆₅
%T Modeling of electromagnetic waves using statistical and numerical techniques
%U https://khub.utp.edu.my/scholars/625/
%V 5857 L
%X This paper presents a comparative study on the modeling of Electromagnetic (EM) waves using statistical and numerical techniques using MATLAB software. Authors focused only on amplitude modeling of EM waves at 0.25Hz frequency. The models using statistical and numerical techniques have been developed and sum square errors have been calculated and comparative studies have been made to find the best technique. First order and second order regressions were used for statistical models and polynomial curve fitting and spline interpolation were used for numerical technique. Results from these techniques were compared and we have found that spline interpolation gave the most fitted model to the EM wave amplitude. © 2009 Springer-Verlag.
%Z cited By 1; Conference of 1st International Visual Informatics Conference, IVIC 2009 ; Conference Date: 11 November 2009 Through 13 November 2009; Conference Code:79347