[SciPy-Dev] Pull Req: Add periodogram and welch functions
Tue Dec 4 08:00:10 CST 2012
On Tue, Dec 4, 2012 at 7:51 AM, Eric Moore <firstname.lastname@example.org> wrote:
> email@example.com wrote:
>> On Mon, Dec 3, 2012 at 10:26 PM, Jake Vanderplas
>> <firstname.lastname@example.org> wrote:
>>> Hi Eric,
>>> The contribution looks good. Have you compared your results to those of
>>> matplotlib.mlab.psd()? I believe that also implements Welch's method.
>> I'm also glad someone provides this in scipy.
>> nitime from the nipy community also has more spectral analysis.
>> Just one question: Should the periodogram have a bandwidth, window
>> length choice?
>> for example what's the M in your "flattop" example.
>> partial aside:
>> I worked on this for statsmodels some time (years) ago, but I never
>> could quite figure out how to do the windows smoothing with the
>> provided windows. (statsmodels only has raw, unwindowed periodogram
>> and spectral density from estimated IIR/ARMA coefficients.)
>> I didn't manage to get matplotlib's Welch implementation to work
>> meaningfully for short time series that we have in economics, but I
>> think your periodogram should "work like in the textbook".
>>> On 12/03/2012 06:54 PM, Eric Moore wrote:
>>>> Hi, I've just submitted a pull request to add a function to compute a
>>>> simple (modified) periodogram and a periodogram using Welch's method.
>>>> The pull request is https://github.com/scipy/scipy/pull/373
>>>> The biggest question I have with my implementation is whether welch
>>>> should support padded FFTs and detrending. But I'm happy to hear any
> I'm not sure what M is. The size of the window is nfft.
The M-point Flat top window.
More general question then:
How do I make a periodogram smooth or less smooth?
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