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Running average from vector of data

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shobhit mehrotra
shobhit mehrotra 2015 年 4 月 8 日
編集済み: Image Analyst 2015 年 4 月 8 日
Hi, I have a vector A A = (1 ,3 ,4 -2, 5 ,6 8, 9, -4, -2)
I want to create a vector with the running average such that
B = (A1, (A1+A2)/2, (A1+A2+A3)/3, ....) then plot(B)
Thanks!

採用された回答

James Tursa
James Tursa 2015 年 4 月 8 日
編集済み: James Tursa 2015 年 4 月 8 日
x = 1:numel(AA);
B = cumsum(AA)./x;
plot(x,B);

その他の回答 (1 件)

Image Analyst
Image Analyst 2015 年 4 月 8 日
編集済み: Image Analyst 2015 年 4 月 8 日
If you have the Curve Fitting Toolbox, try smooth: http://www.mathworks.com/help/curvefit/smooth.html?searchHighlight=smooth
Otherwise, use conv() (twice) and plot().
% Create sample data.
signal = randi(9, 1, 5)
% Make a moving window (kernel) to do the counting.
kernel = [1, 1, 1];
% Count the number of elements in the moving window.
counts = conv(ones(1, length(signal)), kernel, 'full')
% Sum the signal in the moving window.
sums = conv(signal, kernel, 'full')
% Divide the sums by the counts to get the average.
movingAverage = sums ./ counts
plot(movingAverage, 'b-', 'LineWidth', 3);
grid on;
Sample data:
signal =
3 2 8 2 1
counts =
1 2 3 3 3 2 1
sums =
3 5 13 12 11 3 1
movingAverage =
3.0000 2.5000 4.3333 4.0000 3.6667 1.5000 1.0000

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