On 10/5/07, Neal Becker <[EMAIL PROTECTED]> 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 _______________________________________________ > Numpy-discussion mailing list > [email protected] > http://projects.scipy.org/mailman/listinfo/numpy-discussion >
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