Conv2 explanation for specific example
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Hey Guys, i need some help for the conv2 implementation for given problem:
K>> conv2([1 2 3], [1 0 0], 'full')
ans =
1 2 3 0 0
Why are the zeros on the right side? Does varies with the border depending on the kernel-center?
For this example its clear:
K>> conv2([1 2 3], [1 0 1], 'full')
ans =
1 2 4 2 3
Thanks for your help, Leo
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Antworten (4)
Jan
am 26 Jul. 2011
Because you have vectors, your example is equivalent to:
conv([1, 2, 3], [1, 0, 0])
E.g. the last element of the result is "w(2*n-1) = u(n)*v(n)", which is 0 in your example. Perhaps your are searchng for the 'same' or 'valid' shapes?
2 Kommentare
Jan
am 26 Jul. 2011
Indeed?
In Matlab 6.5 it called FILTER after reordering the inputs: CONV(A, B) equals CONV(B, A), but FILTER(B, 1, A) is faster, if length(A) < length(B).
I think I should read through all of the toolbox functions again...
the cyclist
am 26 Jul. 2011
Isn't the convolution calculation essentially doing what I have written below? Does that make it clearer where the zeros come from?
a = [1 2 3]
b = [1 0 0]
conv_a_b = b(1)*[a 0 0] + b(2)*[0 a 0] + b(3) * [0 0 a]
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Leo
am 26 Jul. 2011
1 Kommentar
the cyclist
am 26 Jul. 2011
In response to what you said to Jan: There is no "padding". MATLAB is treating the trailing zeros in "b" exactly how it would treat them if they were non-zero, and giving you the result.
In response of what you said to me: Yes. What I typed is functional code, using the "a" that you defined.
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