On 10/5/07, Neal Becker <ndbecker2@gmail.com> wrote:

I'm thinking (again) about using numpy for signal processing applications.
One issue is that there are more data types that are commonly used in
signal processing that are not available in numpy (or python).
Specifically, it is frequently required to convert floating point
algorithms into integer algorithms.  numpy is fine for arrays of integers
(of various sizes), but it is also very useful to have arrays of
complex<integers>.  While numpy has complex<double,float>, it doesn't have
complex<int,int_64...>  Has anyone thought about this?

A bit. Multiplication begins to be a problem, though. Would you also want fixed point multiplication with scaling, a la PPC with altivec? What about division? So on and so forth. I think something like this would best be implemented in a specialized signal processing package but I am not sure of the best way to do it.

Chuck

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