code: def match(self, other, psd=None,
                low_frequency_cutoff=None, high_frequency_cutoff=None):
          
          return self.to_frequencyseries().match(other, psd=psd,
                       low_frequency_cutoff=low_frequency_cutoff,
                       high_frequency_cutoff=high_frequency_cutoff)
docs: Return the match between the two TimeSeries or FrequencySeries.
  
          Return the match between two waveforms. This is equivelant to the overlap
          maximized over time and phase. By default, the other vector will be
          resized to match self. This may remove high frequency content or the
          end of the vector.
  
          Parameters
          ----------
          other : TimeSeries or FrequencySeries
              The input vector containing a waveform.
          psd : Frequency Series
              A power spectral density to weight the overlap.
          low_frequency_cutoff : {None, float}, optional
              The frequency to begin the match.
          high_frequency_cutoff : {None, float}, optional
              The frequency to stop the match.
  
          Returns
          -------
          match: float
          index: int
              The number of samples to shift to get the match.