Dear Sir/Madam,
In the Loss.mat, I have Fd and Fq matrices with 256*256 dimension as inputs and Pfer_c, Pfer_h, Pfes_c, Pfes_h, Ppm as the output of Fq and Fq. I want to obtain the value of Pfer_c, Pfer_h, Pfes_c, Pfes_h, Ppm for Fd_sat and Fq-sat (the values in LOSS_sat.mat) and I used griddata as following:
Pfer_c_sat = griddata(Fd, Fq, Pfer_c, Fd_sat, Fq_sat); Pfer_h_sat = griddata(Fd, Fq, Pfer_h, Fd_sat, Fq_sat); Pfes_c_sat = griddata(Fd, Fq, Pfes_c, Fd_sat, Fq_sat); Pfes_h_sat = griddata(Fd, Fq, Pfes_h, Fd_sat, Fq_sat); Ppm_sat = griddata(Fd, Fq, Ppm, Fd_sat, Fq_sat);
But the problem is for some values the results are “NaN” where makes the rest of my program unsolvable as they are input of a large program. Is there any way that I can estimate an integer values with the minimum error to avoid "NaN"?
I appreciate your help.
Best Answer