Henrik Ronellenfitsch wrote:
> Thanks very much for your solution, this is exactly what I needed!
> If I'm not mistaken, though, you can achieve the same result with
>
> h = hamming(n)
> ham2d = sqrt(outer(h,h))
>
> which is a bit more compact.
>
> Regards,
> Henrik
Yes, that's nicer.
regards
Hi,
Gary Ruben wrote:
> import numpy as np
> import scipy.signal as ss
>
> # read heightmap here - in my case it's a square numpy float array
>
> # build 2d window
> hm_len = heightmap.shape[0]
> bw2d = np.outer(ss.hamming(hm_len), np.ones(hm_len))
> bw2d = np.sqrt(bw2d * bw2d.T) # I don't know w
Henrik Ronellenfitsch wrote:
> Hello!
> I'm looking for a 2D hamming window function.
> As far as I can see, numpy only supports 1D windows
> and googling didn't show a simple way of extending it
> in two dimensions.
>
> Thanks for your help,
>
> Henrik
Hi Henrik,
I haven't looked at the "corre
Hello!
I'm looking for a 2D hamming window function.
As far as I can see, numpy only supports 1D windows
and googling didn't show a simple way of extending it
in two dimensions.
Thanks for your help,
Henrik
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