2010/7/12 Jochen Schröder
> On 13/07/10 08:47, David Goldsmith wrote:
> > In light of my various questions and the responses thereto, here's what
> > I've done (but not yet committed) to numpy.fft.
> >
> > There are many ways to define the DFT, varying in the sign of the
> > exponent, normalizati
On 13/07/10 08:47, David Goldsmith wrote:
> In light of my various questions and the responses thereto, here's what
> I've done (but not yet committed) to numpy.fft.
>
> There are many ways to define the DFT, varying in the sign of the
> exponent, normalization, etc. In this implementation, the DF
On Mon, Jul 12, 2010 at 6:33 PM, Travis Oliphant wrote:
>
> On Jul 12, 2010, at 5:47 PM, David Goldsmith wrote:
>
> > In light of my various questions and the responses thereto, here's what
> I've done (but not yet committed) to numpy.fft.
> >
> > There are many ways to define the DFT, varying in
On Jul 12, 2010, at 5:47 PM, David Goldsmith wrote:
> In light of my various questions and the responses thereto, here's what I've
> done (but not yet committed) to numpy.fft.
>
> There are many ways to define the DFT, varying in the sign of the
> exponent, normalization, etc. In this impleme
In light of my various questions and the responses thereto, here's what I've
done (but not yet committed) to numpy.fft.
There are many ways to define the DFT, varying in the sign of the
exponent, normalization, etc. In this implementation, the DFT is defined
as
.. math::
A_k = \sum_{m=0}^{n-
