Hello Christophe, Regarding noise, I have the feeling that "lsq_splin" can do a better job than interp1, which just interpolates linearly in its default operation. However, "smooth" might be the best choice for this task.
Regarding "intersect", I considered that the data provided were representative of the case study, and taking into account only EXACT correspondence would - in this particular case - not miss any data. Cdlt Denis PS: last line should have been: disp([v',Temp1,Temp2,Temp2-(Temp1-mean(Temp1))]); -----Message d'origine----- De : users-boun...@lists.scilab.org [mailto:users-boun...@lists.scilab.org] De la part de Dang, Christophe Envoyé : vendredi 11 janvier 2013 17:07 À : International users mailing list for Scilab. Objet : Re: [Scilab-users] "Re-sampling" data and making 2 vectors Hello Denis > intersect(Data1(:,1)) with this solution, you loose the information. > It is also possible to interpolate the values of Data2 for the time > values in Data1(:,1) with interp1 I'm not familiar with this function, and have a question about the way it works. I have the feeling that it creates polynomial arcs (splines) that goes through all the data points, am I right? If yes, then it is sensitive to noise. Is there a function that does a smoothing on several data points so you can reduce the noise? Best regards -- 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 users@lists.scilab.org http://lists.scilab.org/mailman/listinfo/users _______________________________________________ users mailing list users@lists.scilab.org http://lists.scilab.org/mailman/listinfo/users
