MATLAB: Cluster the data, separate the data

clusterdata

Hi! I was measuring tilt for let's say 71 nozzles continiously. I got the inclinations. The results are shown in the attached pic. Now I have to split the data on 71 groups but the upper and low limits and time of measurements are different. When aplitting the data I just need the data with high density. Should I write a loop for defining the data points that are close in values until I reach some pick value and store it. Or there some solution to do. I would be appreciate. Thanks.

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As a quick answer (since you didn't upload the data), you may try to detect the peaks of the signal and then get the segments between them. For example, see the findpeaks method at: https://www.mathworks.com/help/signal/examples/peak-analysis.html#responsive_offcanvas.

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MATLAB: Compare results of different step size using Euler’s method

I have made a few tweaks to your code and it will now allow you to alter one parameter value (the time step size) and produce a new approximation that will be added to your previous plot.

clear all
h = 0.00001;
x1=zeros(round(5/h),1);
x2=zeros(round(5/h),1);
x3=zeros(round(5/h),1);
Time=zeros(round(5/h),1);
for i=1:(5/h)+1
    t=(i-1)*h;
    Time(i)=t;
    if t==0
        x1(i)=0;
        x2(i)=0;
        x3(i)=2;
    else
        x1(i)=x1(i-1)+x2(i-1)*h;
        x3(i-1)=2-9*sin(x1(i-1))-x2(i-1);
        x2(i)=x2(i-1)+x3(i-1)*h;
    end
end
Xa=x1*180/pi;
hold on
plot(Time,Xa)

Here h is your time step and I have just modified everything else to produce the correct length arrays for storing the results. I also took out the 'red' from your plotting command so that each approximation will automatically plot in a different colour.

MATLAB: Multilevel Histogram thresholding

binaryImage = (grayImage < upperThreshold) & (grayImage > lowerThreshold);

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MATLAB: Compare results of different step size using Euler’s method

MATLAB: Multilevel Histogram thresholding

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