Create a moving average
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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
1 comentario
arman arefi
el 27 de Mzo. de 2020
You can use Moving Average Function in the FileExchange. Please find the link below:
Respuesta aceptada
Más respuestas (5)
Image Analyst
el 28 de Jun. de 2013
Editada: Image Analyst
el 28 de Jun. de 2013
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 comentarios
Nuchto
el 29 de Nov. de 2017
Thanks. Why do you divide by 101?
Image Analyst
el 29 de Nov. de 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
el 30 de Nov. de 2017
So you could use ones(101,1) first, and onces it is convolved you can divide by 101?
Image Analyst
el 30 de Nov. de 2017
Yes.
Grzegorz Knor
el 7 de Abr. de 2017
Editada: Adam Danz
el 19 de Sept. de 2021
3 votos
1 comentario
Image Analyst
el 7 de Abr. de 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.
Marc
el 28 de Jun. de 2013
1 voto
If you have the financial toolbox, doc movavg()....
[Short, Long] = movavg(Asset, Lead, Lag, Alpha)
the cyclist
el 28 de Jun. de 2013
1 voto
This page of the MATLAB documentation has an example of using the filter() command to calculate a moving average:
1 comentario
Dirk
el 28 de Jun. de 2013
Jan
el 28 de Jun. de 2013
1 voto
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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Más información sobre Correlation and Convolution en Centro de ayuda y File Exchange.
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