Hi There, How can I calculate a moving average for a column of data. For instance i want to average the 50 points either side of each data point in my column. Thanks

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Andrei Bobrov
Andrei Bobrov am 28 Jun. 2013

1 Stimme

A - your data
L = filter(ones(101,1)/101,1,[A(:) zeros(50,1)]);
out = L(51:end);

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Image Analyst
Image Analyst am 28 Jun. 2013
Bearbeitet: Image Analyst am 28 Jun. 2013

4 Stimmen

For a 1D column vector:
movingAverage = conv(yourSignal, ones(101,1)/101, 'same');
For a 2D array of columns:
movingAverage = conv2(yourSignal, ones(101,1)/101, 'same');
If you don't want the central pixel to be included in the average and have ONLY the 50 on either side, use
kernel = ones(101,1)/100;
kernel(51) = 0;
movingAverage = conv(yourSignal, kernel, 'same');
Same for a 2D matrix except use conv2 instead of conv. conv() and conv2() are highly optimized and very fast.

4 Kommentare

Nuchto
Nuchto am 29 Nov. 2017
Thanks. Why do you divide by 101?
Image Analyst
Image Analyst am 29 Nov. 2017
You divide by however many 1's there are in the kernel. If you don't then you're not getting the average. Remember the average is the sum divided by the number of elements in the sum. If you didn't have 101, then you'd simply be summing 101 values and the resulting image would be 101 times as bright rather than in the same intensity range as the original.
Nuchto
Nuchto am 30 Nov. 2017
So you could use ones(101,1) first, and onces it is convolved you can divide by 101?
Image Analyst
Image Analyst am 30 Nov. 2017
Yes.

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Grzegorz Knor
Grzegorz Knor am 7 Apr. 2017
Bearbeitet: Adam Danz am 19 Sep. 2021

3 Stimmen

From MATLAB R2016a there is a function movmean which does not require additional toolboxes.

1 Kommentar

Image Analyst
Image Analyst am 7 Apr. 2017
True, and it offers some edge handling options ('shrink', 'discard', 'fill') that conv2() does not have.
conv2() also does not require any toolboxes because it's in base MATLAB.

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Marc
Marc am 28 Jun. 2013

1 Stimme

If you have the financial toolbox, doc movavg()....
[Short, Long] = movavg(Asset, Lead, Lag, Alpha)
the cyclist
the cyclist am 28 Jun. 2013

1 Stimme

This page of the MATLAB documentation has an example of using the filter() command to calculate a moving average:

1 Kommentar

Dirk
Dirk am 28 Jun. 2013
Thanks. The filter function is set to average data from the previous n measurements. Is there a simple way to specify a different averaging criteria? Thanks

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Jan
Jan am 28 Jun. 2013

1 Stimme

There are many moving average filters in the FileExchange. Whenever a standard problem occurs, looking in the FEX is a good idea:

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am 28 Jun. 2013

Bearbeitet:

am 19 Sep. 2021

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