Hi Remco, Sounds like a bug. Which version of numarray do you use? Version 0.8 of numarray should have appeared on sourceforge now. If the convolve in that version does still not work, you could try out the convolution function in the new nd_image package that is part of numarray 0.8. If that does not work, let me know since I am the author of that package, and will fix problems with it. Cheers, Peter On Monday 15 December 2003 11:24, R.Jager@mapperlithography.com wrote:
Hi list,
I already posted this on the numarray forum on freshmeat, but Jay T Miller advised me to post my problem to this list. OK, now for the problem: I try to convolve a Gaussian distribution with a binary pattern. For small values of the sigma of the Gaussian distribution the convolution returns an array of zeros. For a large value the results are OK. I did some more research and found out that the zero array is returned if the length of the Gaussian is smaller than the length of the binary pattern. In the function call the Gaussian is the kernel and the binary pattern is the data. The convolution mode is 'SAME'. I have swapped the data and kernel in the convolve function call, but this has no influence on the result, as this is swapped again in convolve.py. A quick and dirty workaround is to always make the Gaussian distribution longer than the binary pattern, but for very large binary patterns this increases the calculation time significantly. Does anyone have an idea how to solve this properly?
Met vriendelijke groeten,
Remco Jager
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