MATLAB: How to fix this code to calculate the running average of the data without using toolbox methods such as movmean or smooth

averageMATLABrunning averagesmooth

The end goal is to smooth the data in a graph. What I have so far is in the first attachment and the .txt file is in the second. Thank you in advance for your help!

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    function avg = running_avg(signal, avg_window)
        avg = zeros(1, length(signal);
        for i = avg_window:length(signal)
             avg(1, i) = sum( signal(i-avg_window+1:i) ) / avg_window;
        end
    end

Related Solutions

MATLAB: How to fix this code to get a proper moving average plot

Your basic function 'running_avg' seeems to be working perfectly. However, If you want answers exactly as you would get using movmean then you should understand how movmean works.

movmean does center averaging ( there are other modes for averaging too but default is center ).

Center averaging is basically to find average by keeping the current element at the center and then take previous and future elements to make the array of size specified by window. Now,

When the window is even, average is centered about the current and previous elements.

When the window is odd, average is centered about the current element.

Note : When the window needs to be shorten due to array's indexing at the endpoints, the average is taken over only the elements that can fit in the window. For e.g. if we 3 previous elements but there are only 2 previous elements then, movmean will take only 2 previous elements and shortens the window to be averaged by 1.

So, you will have to change the code for your function 'running_avg' accordingly to get output 'exactly' as movmean.

MATLAB: How to make a plot smooth

It depends on what you intend by ’smooth’.

Try this:

I = openfig('scma25.fig');
Ax = gca;
Lines = findobj(Ax,'Type','line');
for k = 1:numel(Lines)
    X(k,:) = Lines(k).XData;
    Y(k,:) = Lines(k).YData;
    pv(:,k) = polyfit(X(k,:), Y(k,:), 3);
    yf(k,:) = polyval(pv(:,k),X(k,:));
end
figure
semilogy(X', yf')
grid
legend(Ax.Legend.String)
xlabel(Ax.XLabel.String)
ylabel(Ax.YLabel.String)

It uses polyfit and polyval to fit your data, then plots the fitted data in a new figure. It also re-uses your axis labels and legend strings.

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Related Solutions

MATLAB: How to fix this code to get a proper moving average plot

MATLAB: How to make a plot smooth

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