Ad Lagendijk

Resolving features and derivatives in noisy data using weighted Whittaker–Henderson smoothing

A frequently occurring challenge in experimental and numerical observations is how to resolve features, such as spectral peaks—with center, width, height—and derivatives from measured data with unavoidable noise. Although many smoothing procedures exist, most are ineffective at reducing noise when the widths of the fea...