Cleaning scattered multi-channel data

Abstract

A new type of "maximum noise fraction" transform, for multivariate data, facilitates noise reduction without requiring the samples to vary continuously, and without need to collect "noise" statistics. The algorithm specifically targets data with a hundred or more channels. Its main applications will be to hyper-spectral remote sensing data and to airborne gamma-ray spectrometry.