A Fast Template Periodogram for Detecting Non-sinusoidal Fixed-shape Signals in Irregularly Sampled Time Series

1 code implementation • 29 Jan 2021 • John Hoffman, Jacob VanderPlas, Joel Hartman, Gaspar Bakos

The most efficient algorithms available for this purpose are those that exploit the $\mathcal{O}(N\log N)$ scaling of the Fast Fourier Transform (FFT).

Time Series Analysis Instrumentation and Methods for Astrophysics Applications

megaman: Manifold Learning with Millions of points

1 code implementation • 9 Mar 2016 • James McQueen, Marina Meila, Jacob VanderPlas, Zhongyue Zhang

Manifold Learning is a class of algorithms seeking a low-dimensional non-linear representation of high-dimensional data.