Baseline and distribution estimates of complicated spectra
David J. Thomson · 2002
In processes with many lines, such as those encountered in climate, space physics, and communications systems, it is often found that the underlying base spectrum also has a complicated shape. The author discusses some methods to estimate the base, and detail spectra by using the probability distributions of such spectra. The methods include a robust estimate of the central part of a mixture of central and noncentral chi-square distributions and, second, a direct estimate of the mixing and noncentrality parameters made by minimizing the Kolmogorov-Smirnov D statistic between the empirical and theoretical cumulative distribution functions.