gLmb: generalized Lomb-Scargle estimation function

In spectral: Common Methods of Spectral Data Analysis

Description

calculates the generalized Lomb-Scargle estimation after Zechmeister et al. (2009)

Usage

gLmb(f, dat, w, Y, hYY)

Arguments

f	frequency
dat	spatial vector including locations and values
w	vector of weights
Y	weighted sum of values
hYY	weighted sum of squared values

Details

This method is based on the generalized approach

y(t) = a*cos(w*t) + b*sin(w*t) + c

which contains the floating average value c of the model function above. The calculation is vectorized to enhance calculation speed.

spectral documentation built on March 29, 2021, 5:10 p.m.