Detecting maximum with threshold
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%example threshold detection code
function [MAXES] = identifyMaximums(Avg)
X = Avg;
threshold = 30;
[Xon, Xoff] = detectThreshold(X,threshold);
nSteps = length(Xon);
firstOff = 1;
while Xoff(firstOff) > Xon(1)
firstOff = firstOff+1;
end
lastOn = nSteps;
while Xon(lastOn) > Xoff(end)
lastOn = lastOn-1;
end
%Adjust ons and offs
Xon_align = Xon(1:lastOn);
Xoff_align = Xoff(firstOff:end);
%Count number of steps after aligning
nStepsFinal = length(Xon_align);
%Initialize matrix of maximums
MAXES = NaN(nStepsFinal,1);
for i = 1:nStepsFinal
MAXES(i) = max(X(Xon_align(i):Xoff_align(i)));
end
function [Ons,Offs] = detectThreshold(signal,threshold)
overThreshold = signal>threshold;
onOffs = diff(overThreshold);
Offs = find(onOffs==-1)+1;
Ons = find(onOffs==1);
end
end
Error:
Index exceeds the number of array elements. Index must
not exceed 0.
Error in identifyMaximums (line 14)
while Xoff(firstOff) > Xon(1)
Error in load_data_10_15 (line 119)
[MAXES] = mean(identifyMaximums(Avg));
Data (Avg) that is being processed:attached image
Hello I hope all is well. I am currently working on a side project where I am trying to match data from a sensor to a force plate. At the moment I am trying to linearize the data. To do so, I must collect the peak values. For some reason I am getting this error and I am not sure why. If you have the time, please look over my work and provide some guidence.
Thank you!
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Matt J
le 28 Nov 2022
Modifié(e) : Matt J
le 28 Nov 2022
If you have the time, please look over my work and provide some guidence.
In detectThreshold(), you need to add control logic to handle the case where find() returns empty [].
Offs = find(onOffs==-1)+1;
Ons = find(onOffs==1);
2 commentaires
Matt J
le 28 Nov 2022
I left it to you because only you knowwhat's supposed to happen when no peaks are detected.
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