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) segment length to dampen increasing variance in spectra at higher frequencies. Before hacking the scipy.signal.spectral module for this, I'd appreciate any tips on available packages/modules that allow for this kind of binning scheme, or other suggestions.
Thanks, -- Seb _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@python.org https://mail.python.org/mailman/listinfo/numpy-discussion
