NlogN algorithm for least-squares fitting of periodic templates to noisy, non-equispaced time-series data.
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Updated
Jan 29, 2021 - Jupyter Notebook
NlogN algorithm for least-squares fitting of periodic templates to noisy, non-equispaced time-series data.
A fast Lomb-Scargle periodogram. It's nifty, and uses a NUFFT!
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Compute Lomb-Scargle periodogram, suitable for unevenly sampled data. It supports multi-threading
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