There are 19 variables in that .mat file. I have no idea which ones are to be extrapolated, so I took a wild guess on two of them.
Try these —
LD = load('QTHLS.mat');
figure
plot(LD.MHLSx, LD.MHLS)
grid
MHLS1i = interp1(LD.MHLS(1:10), LD.MHLSx(1:10), 0, 'linear','extrap')
p = polyfit(LD.MHLSx(end-9:end), LD.MHLS(end-9:end),1)
MHLS2i = -p(2)/p(1)
hold on
plot([MHLS1i, LD.MHLSx(1)], [0 LD.MHLS(1)], '-r')
plot([MHLS2i, LD.MHLSx(end)], [0 LD.MHLS(end)], '-r')
hold off
figure
plot(LD.XLSx, LD.XLS)
grid
XLS1i = interp1(LD.XLS(1:10), LD.XLSx(1:10), 0, 'linear','extrap')
p = polyfit(LD.XLSx(end-9:end), LD.XLS(end-9:end),1)
XLS2i = -p(2)/p(1)
hold on
plot([XLS1i, LD.XLSx(1)], [0 LD.XLS(1)], '-r')
plot([XLS2i, LD.XLSx(end)], [0 LD.XLS(end)], '-r')
hold off
The online Run feature does not work well with .mat files, so I did this offline.
They also demonstratae two diferent methods of doing the extrapolation.
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