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For example, pixel P will contribute to the convolution operation centered at pixel M, if the distance between pixels P and M is shorter than half of the convolution window size.
This is because during convolution, the center and one tail cover the uniform object, producing an activity of 1.09, while the other tail covers the background, and therefore contributes little to the convolution.
However, if the convolution window is too big, some farther pixels will still contribute undesirably to the convolution although they belong to different structures from center pixel c.
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We also show that the additions required beyond the convolutions can be minimized by a small modification to the convolution algorithms.
In case of less than full coverage, mobilities are underestimated by a factor proportional to the convolution of the THz spot profile and the local graphene coverage landscape.
Now we give some estimates related to the convolution operator.
And this is referred to as the convolution sum.
The fast way to do a convolution is to use the convolution rule, go this way.
Now to form the convolution, we want the product of these two.
I want to use the convolution rule, because multiplying is fast.
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