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Fast folding algorithm

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In signal processing, the fast folding algorithm (Staelin, 1969) is an efficient algorithm for the detection of approximately-periodic events within time series data. It computes superpositions of the signal modulo various window sizes simultaneously.

The FFA is best known for its use in the detection of pulsars, as popularised by SETI@home and Astropulse. It was also used by the Breakthrough Listen Initiative during their 2023 Investigation for Periodic Spectral Signals campaign.[1]

See also

References

  1. ^ "BLIPSS". GitHub.