Period Estimation
3 papers with code • 1 benchmarks • 1 datasets
OmniArt
Most implemented papers
Estimating activity cycles with probabilistic methods I. Bayesian Generalised Lomb-Scargle Periodogram with Trend
We show, using synthetic data, that when there is no prior information on whether and to what extent the true model of the data contains a linear trend, the introduced BGLST method is preferable to the methods which either detrend the data or leave the data untrended before fitting the periodic model.
Fast Periodicity Estimation and Reconstruction of hidden components from noisy periodic signal
Periodicity estimation from an arbitrary length noisy signal is computationally very costly.
DeepOrientation: convolutional neural network for fringe pattern orientation map estimation
Accurate estimation of the local fringe orientation map can significantly facilitate the measurement process on various ways, e. g., fringe filtering (denoising), fringe pattern boundary padding, fringe skeletoning (contouring/following/tracking), local fringe spatial frequency (fringe period) estimation and fringe pattern phase demodulation.
