match peaks from plot
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v = hz1.Vdeg;
l = length(v);
t = 1:l(end);
plot(t,v);
[vmax,vindmax]=findpeaks(v,t);
[vmin,vindmin]=findpeaks(-v,t);
hold on
plot(vindmax,vmax,'o','MarkerFaceColor','r','MarkerSize',5);
plot(vindmin,-vmin,'d','MarkerFaceColor','g','MarkerSize',5);
figure
s = hz1.Dmm;
l = length(s);
t = 1:l(end);
plot(t,s);
[smax,sindmax]=findpeaks(s,t);
[smin,sindmin]=findpeaks(-s,t);
hold on
plot(sindmax,smax,'o','MarkerFaceColor','r','MarkerSize',5);
plot(sindmin,-smin,'d','MarkerFaceColor','g','MarkerSize',5);


I have these 2 peaks . how do I match the peaks from these two together ?
5 comentarios
Image Analyst
el 12 de Jun. de 2022
Editada: Image Analyst
el 12 de Jun. de 2022
What exactly does "match" mean to you? And I see hundreds of peaks, not just two. I see two plots, each one having hundreds of peaks and hundreds of valleys. Please indicate the two peaks you want to "match" and mathematically define "match".
If you have any more questions, then ask them after you read this and clarify your question:
Jeffrey Clark
el 12 de Jun. de 2022
@Jes, look at Find local maxima - MATLAB islocalmax (mathworks.com). If its not available in your version of MATLAB you can eliminate the relatively negative findpeaks you found and thenn do a findpeaks on the reduced findpeaks.
N/A
el 13 de Jun. de 2022
N/A
el 13 de Jun. de 2022
Jeffrey Clark
el 13 de Jun. de 2022
@Jes, yes. Look at the last figure on that documentation page, I suspect that method will work for you to give a reasonable number of peaks.
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