I've digged out the source codes to translate from Python to R.
Usage
matched_filter(template, data, psd = NULL, fl = NULL, fu = NULL, h.norm = NULL)
Arguments
- template
A `ts` object of waveform template.
- data
A `ts` object of data.
- psd
A `fs` object of PSD.
- fl
A numeric. Lower frequency cutoff.
- fu
A numeric. Upper frequency cutoff.
- h.norm
A custom normalization factor.
Value
A list containing: `snr.ts`, `snr.fs`, and `norm`, where SNR in `ts` and `fs` object and the normalization factor, respectively. Final SNR will be norm*abs(snr.ts)