1d Convolution using Matlab's conv() function
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According to the documentation(https://www.mathworks.com/help/matlab/ref/conv.html),
len(output) = len(input) + len(kernel) - 1
So, I figured out
- In case of conv(u,v,"full"):
len(pad) = len(kernel) - 1
For instance, according to Matlab commandline:
u = [1 2 1 3]
v = [2 0 1]
w = [2 4 3 8 1 3]
Coz,
len(w) = len(u) + len(v) - 1
= 4 + 3 - 1
= 6
len(pad) = len(v) - 1
= 3 - 1
= 2
So, according to calculation:
0 0 1 2 1 3 0 0
1 0 2
---------------
0 0 2 = 2
. . . . . .
. . . . . .
0 0 1 2 1 3 0 0
1 0 2
-------------------
3 0 0 = 3
- In case of conv(u,v,"same"):
u = [1 2 1 3]
v = [2 0 1]
w = [4 3 8 1]
Coz,
len(w) = len(u)
= 4
len(pad) = floor(len(v) / 2)
= floor(3 / 2)
= 1
So, according to calculation:
0 1 2 1 3 0
1 0 2
-----------
0 0 4 = 4
. . . . . .
. . . . . .
0 1 2 1 3 0
1 0 2
---------------
1 0 0 = 1
But, the problem arises in case of the following example:
u = [1 2 1 3 1]
v = [2 0 1 0]
The following one is okay:
- In case of conv(u,v,"full"):
w = [2 4 3 8 3 3 1 0]
len(w) = len(u) + len(v) - 1
= 5 + 4 - 1
= 8
len(pad) = len(v) - 1
= 4 - 1
= 3
So,
0 0 0 1 2 1 3 1 0 0 0
0 1 0 2
---------------------
0 0 0 2 = 2
. . . . .
. . . . .
0 0 0 1 2 1 3 1 0 0 0
0 1 0 2
---------------------------
0 0 0 0 = 0
But, the following one has issues:
- In case of conv(u,v,"same"):
w = [3 8 3 3 1]
Coz,
len(w) = len(u)
= 5
len(pad) = floor(len(v) / 2)
= floor(4 / 2)
= 2
So, according to calculation:
0 0 1 2 1 3 0 0
0 1 0 2
---------------
0 0 0 4 = 4
0 0 1 2 1 3 0 0
0 1 0 2
---------------
0 1 0 2 = 3
0 0 1 2 1 3 0 0
0 1 0 2
---------------
0 2 0 6 = 8
0 0 1 2 1 3 0 0
0 1 0 2
-----------------
0 1 0 0 = 1
0 0 1 2 1 3 0 0
0 1 0 2
-------------------
0 3 0 0 = 3
I.e. output = [4 3 8 1 3] which doesn't match the Matlab output.
What is going on here?
Accepted Answer
More Answers (1)
David Goodmanson
on 28 Oct 2018
Hi B^3S,
Your last example, the one you are having problems with, is incorrect. You should be using [1 2 1 3 1] but you are using [1 2 1 3] instead. With the right u,
conv(u,v)
ans = 2 4 3 8 3 3 1 0
For the 'same' option, conv picks the centermost 5 (in this case) elements. It's not documented very well if at all, but when there are an odd number of extra elements on the ends, conv seems to cut out one more unused element on the left hand side than the right hand side. Hence
conv(u,v,'same')
ans = 3 8 3 3 1
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