Azzera filtri
Azzera filtri

how to use spline for a fig. file?

3 visualizzazioni (ultimi 30 giorni)
Sajid Sarwar
Sajid Sarwar il 3 Lug 2019
Commentato: Sajid Sarwar il 3 Lug 2019
Can I use spline to smooth the plot in attached file?

Risposta accettata

Star Strider
Star Strider il 3 Lug 2019
Modificato: Star Strider il 3 Lug 2019
Try this:
I = openfig('fft scma 25.fig');
Ax = gca;
lgnd = Ax.Legend;
Lines = findobj(Ax,'Type','line');
N = 5; % Interpolation Points Length Multiplication
for k = 1:numel(Lines)
X(k,:) = Lines(k).XData;
Y(k,:) = Lines(k).YData;
xq(k,:) = linspace(min(X(k,:)),max(X(k,:)), numel(X(k,:))*N); % Interpolation Points Vector
ys(k,:) = spline(X(k,:),Y(k,:),xq(k,:)); % Spline Fit To Data
end
figure
semilogy(xq', ys')
grid
legend(Ax.Legend.String)
xlabel(Ax.XLabel.String)
ylabel(Ax.YLabel.String)
Change ‘N’ to get the result you want.
This is essentially the same as my previous code, this time doing a spline interpolation.
EDIT —
Corrected typographical error. Code unchanged.

Più risposte (1)

Walter Roberson
Walter Roberson il 3 Lug 2019
Ninterp = 10;
Nplot = 100;
fig = openfig('fft scma 25.fig');
Lines6to1 = findobj(fig, 'type', 'line');
for idx = 1 : length(Lines6to1)
h = Lines6to1(idx);
xd = get(h, 'XData');
yd = get(h, 'YData');
x = linspace(min(xd), max(xd), Ninterp);
y = interp1(xd, yd, x, 'spline');
xx = linspace(min(xd), max(xd), Nplot);
yy = spline(x, y, xx);
set(h, 'XData', xx, 'YData', yy);
end

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by