pyhctsa.operations.spectral.spectral_summaries¶

pyhctsa.operations.spectral.spectral_summaries(y, psd_meth='fft', window_type='none')¶

Statistics of the power spectrum of a time series.

Computes a range of statistics summarizing the power spectrum of a time series. The spectrum can be estimated using a periodogram, fast Fourier transform (FFT), or Welch’s method.

Parameters:¶

y : array-like¶

The input time series.

psd_meth : {'periodogram', 'fft', 'welch'}, optional¶

The method for obtaining the spectrum from the signal:

• ’periodogram’: periodogram

• ’fft’: fast Fourier transform (default)

• ’welch’: Welch’s method

window_type : {'boxcar', 'rect', 'bartlett', 'hann', 'hamming', 'none'}, optional¶

The window to use for spectral estimation:

• ’boxcar’

• ’rect’

• ’bartlett’

• ’hann’

• ’hamming’

• ’none’ (default)

Returns:¶

Statistics summarizing various properties of the spectrum.

Return type:¶

dict