moving sum using movsum()

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Shivaani S
Shivaani S 2020-5-24
评论： Shivaani S 2020-5-24
I am new to matlab and this is a code for computing moving sum from 3 consecutive numbers in matlab from Mathworks documentation. I am unable to understand what they mean by discarding endpoint calculations in the explanation(underlined ). I do not understand the significance of endpoints and discard keyword in the given documentation.If someone can explain this it would be very helpful .
Compute the three-point centered moving sum of a row vector, but discard any calculation that uses fewer than three points from the output. In other words, return only the sums computed from a full three-element window, discarding endpoint calculations.
A = [4 8 6 -1 -2 -3 -1 3 4 5];
M = movsum(A,3,'Endpoints','discard')
M = 1×8
18 13 3 -6 -6 -1 6 12

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Ameer Hamza
Ameer Hamza 2020-5-24
If you do not specify the endpoints to be discarded, the MATLAB appends zeros at both ends of the array to make them the window fit. For example, if you run
A = [4 8 6 -1 -2 -3 -1 3 4 5];
M = movsum(A,3)
then MATLAB will create matric A like this
A = [0 4 8 6 -1 -2 -3 -1 3 4 5 0];
so that window of size 3 can fit at 4 (first element) and 5 (last element)
  2 个评论
Steven Lord
Steven Lord 2020-5-24
Continuing Ameer Hamza's example the window of length 3 centered at the first element of the vector, 4, would contain one of those "padding" 0's. If you specify that you want to 'discard' the endpoints, MATLAB will not compute the sum for windows that contain one of those padding 0's. So the first element of M is the sum for the window centered around 8, not around the first 4, as 8 is the first element whose whole window is inside the vector A.
If you'd specified that you want to 'shrink' the endpoints, MATLAB would compute the sum over the first window (centered around the first 4) and return that as the first element of M. In the case of movsum you can think of this is including a padding 0. In the case of other moving window functions, like movmean, it actually makes a bigger difference (as that first window would be the mean of two values not three.)
If you 'fill' the endpoints MATLAB pads not with 0 but with NaN so the values of the first and last windows, centered around the first 4 and the 5 respectively, are NaN.
Shivaani S
Shivaani S 2020-5-24
Thank you for explaining it precisely Ameer Hamza and thank you Steven Lord for your detailed answer. Both helped me understand the code better.

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Image Analyst
Image Analyst 2020-5-24
If the window cannot overlap the ends without the window sticking out past the edge of the vector, then it essentially stops there, it doesn't move closer to the ends so any values it might compute there, say be shrinking the window or padding with zeros, are discarded. Thus, the resulting vector will be shorter by the width of window (half a window width on each end are discarded).

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