def full_matched_filter_and_cluster_symm(self, segnum, template_norm, window, epoch=None):
        """ Returns the complex snr timeseries, normalization of the complex snr,
        the correlation vector frequency series, the list of indices of the
        triggers, and the snr values at the trigger locations. Returns empty
        lists for these for points that are not above the threshold.

        Calculated the matched filter, threshold, and cluster.

        Parameters
        ----------
        segnum : int
            Index into the list of segments at MatchedFilterControl construction
            against which to filter.
        template_norm : float
            The htilde, template normalization factor.
        window : int
            Size of the window over which to cluster triggers, in samples

        Returns
        -------
        snr : TimeSeries
            A time series containing the complex snr.
        norm : float
            The normalization of the complex snr.
        corrrelation: FrequencySeries
            A frequency series containing the correlation vector.
        idx : Array
            List of indices of the triggers.
        snrv : Array
            The snr values at the trigger locations.
        """
        norm = (4.0 * self.delta_f) / sqrt(template_norm)
        self.correlators[segnum].correlate()
        self.ifft.execute()
        snrv, idx = self.threshold_and_clusterers[segnum].threshold_and_cluster(self.snr_threshold / norm, window)

        if len(idx) == 0:
            return [], [], [], [], []

        logging.info("%s points above threshold" % str(len(idx)))

        snr = TimeSeries(self.snr_mem, epoch=epoch, delta_t=self.delta_t, copy=False)
        corr = FrequencySeries(self.corr_mem, delta_f=self.delta_f, copy=False)
        return snr, norm, corr, idx, snrv
Returns the complex snr timeseries, normalization of the complex snr,
        the correlation vector frequency series, the list of indices of the
        triggers, and the snr values at the trigger locations. Returns empty
        lists for these for points that are not above the threshold.

        Calculated the matched filter, threshold, and cluster.

        Parameters
        ----------
        segnum : int
            Index into the list of segments at MatchedFilterControl construction
            against which to filter.
        template_norm : float
            The htilde, template normalization factor.
        window : int
            Size of the window over which to cluster triggers, in samples

        Returns
        -------
        snr : TimeSeries
            A time series containing the complex snr.
        norm : float
            The normalization of the complex snr.
        corrrelation: FrequencySeries
            A frequency series containing the correlation vector.
        idx : Array
            List of indices of the triggers.
        snrv : Array
            The snr values at the trigger locations.