def psd(self, segment_duration, **kwds):
        """ Calculate the power spectral density of this time series.

        Use the `pycbc.psd.welch` method to estimate the psd of this time segment.
        For more complete options, please see that function.

        Parameters
        ----------
        segment_duration: float
            Duration in seconds to use for each sample of the spectrum.
        kwds : keywords
            Additional keyword arguments are passed on to the `pycbc.psd.welch` method.

        Returns
        -------
        psd : FrequencySeries
            Frequency series containing the estimated PSD.
        """
        from pycbc.psd import welch
        seg_len = int(segment_duration * self.sample_rate)
        seg_stride = int(seg_len / 2)
        return welch(self, seg_len=seg_len,
                           seg_stride=seg_stride,
                           **kwds)
Calculate the power spectral density of this time series.

        Use the `pycbc.psd.welch` method to estimate the psd of this time segment.
        For more complete options, please see that function.

        Parameters
        ----------
        segment_duration: float
            Duration in seconds to use for each sample of the spectrum.
        kwds : keywords
            Additional keyword arguments are passed on to the `pycbc.psd.welch` method.

        Returns
        -------
        psd : FrequencySeries
            Frequency series containing the estimated PSD.