Hello, De la part de Rafael Guerra Envoyé : lundi 4 mars 2013 04:37
> Does somebody know if there are Scilab functions > [...] that smooths > experimental data z=f(x,y) and is immune to strong outliers. imho, the problem with smoothing and outliers is that the definition of a outlier depends on the field. How can Scilab know what a "strong outlier" is? I personally would try Fourier filtering: a strong outlier means a steep slope and therefore correspond to a high frequency. Thus fft2, set high frequencies to 0 (with possibly a smooth transition), then inverse fft2 -- ifft2 does not exist, I never used 2-dimension Fourier transform so I don't know if the inverse is easy to perform... -- Christophe Dang Ngoc Chan Mechanical calculation engineer This e-mail may contain confidential and/or privileged information. If you are not the intended recipient (or have received this e-mail in error), please notify the sender immediately and destroy this e-mail. Any unauthorized copying, disclosure or distribution of the material in this e-mail is strictly forbidden. _______________________________________________ users mailing list [email protected] http://lists.scilab.org/mailman/listinfo/users
