On Jan 21, 11:31 am, sturlamolden wrote:
> On Jan 21, 12:13 am, sturlamolden wrote:
>
> > Apart from that, an FFT in pure python is going to be atrociously slow
> > for anything but the shortest signals. I cannot imagine why you want
> > to do this.
>
> Just to elaborate on this:
>
> The whole pu
On Jan 20, 3:13 pm, sturlamolden wrote:
> Consider using Thompson's multitaper method, autoregression (maximum
> entropy), or Welch method for your frequency estimates. Blackman-
> Tuckey is also a possibility, but I see no reason to prefer that to
> Welch. Multitaper and AR tends to be the better
On Jan 21, 12:13 am, sturlamolden wrote:
> Apart from that, an FFT in pure python is going to be atrociously slow
> for anything but the shortest signals. I cannot imagine why you want
> to do this.
Just to elaborate on this:
The whole purpose of using FFT is speed. That pretty much excludes th
On Jan 20, 11:09 pm, debug wrote:
> So far i've managed to put together a chunk of code but I'm not sure
> its returning the right values, any ideas?
Don't use the periodogram for frequency analysis; it is not a good
estimate of the power spectrum. According to the Wiener-Khintchin
theorem, the
Hi-
I've been using python now for about 2 months for plugin development
within Maya (a commercial 3d application). I'm currently in the
process of writing a sound analysis plugin for maya and have completed
a good portion of it including the ability to retrieve the amplitude
at certain intervals
