[Numpy-discussion] custom Welch method for power spectral density

2018-01-12 Thread Seb
Hello, I'm trying to compute a power spectral density of a signal, using the Welch method, in the broad sense; i.e. splitting the signal into segments for deriving smoother spectra. This is well implemented in scipy.signal.welch. However, I'd like to use exponentially increasing (power 2) segmen

Re: [Numpy-discussion] custom Welch method for power spectral density

2018-01-12 Thread Robert Kern
On Fri, Jan 12, 2018 at 1:12 PM, Seb wrote: > > Hello, > > I'm trying to compute a power spectral density of a signal, using the > Welch method, in the broad sense; i.e. splitting the signal into > segments for deriving smoother spectra. This is well implemented in > scipy.signal.welch. However,

Re: [Numpy-discussion] custom Welch method for power spectral density

2018-01-12 Thread Seb
On Fri, 12 Jan 2018 13:32:11 -0800, Robert Kern wrote: [...] > Not entirely sure about this kind of binning scheme per se, but you > may want to look at multitaper spectral estimation methods. The Welch > method can be viewed as a poor-man's multitaper. Multitaper methods > give you better contr