[Matrix-SIG] N-D Convolution routine

[Travis Oliphant]

One of the things that I think NumPy could really benefit from is a good
set of Signal/Image/Array Processing routines.

One fundamental part of that area is a general N-D convolution routine. 
I have a first version of an N-D convolution routine that I am proposing
for inclusion in the multiarraymodule.c source code.

I have tested it and it seems to work for all supported types and is
useable now.  At some time I would like it to be polished off with some 
appropriate broadcasting rules, so that one could, for
example, do 2-D convolution on each plane of a 3-D volume with one
statement.

If anyone is interested in this routine which I have called 
convolveND send me email, or post to this list. 

What would be the method of getting it included in the multiarraymodule
proper??


Thanks,

Travis
Oliphant.Travis@mayo.edu


----------------------------------------------------
Travis Oliphant            200 First St SW          
    	                   Rochester MN 55905       
Ultrasound Research Lab	   (507) 286-5293           
Mayo Graduate School	   Oliphant.Travis@mayo.edu