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This manuscript describes the software package SCOUT, which analyzes,characterizes, and corrects one-dimensional signals. Specifically, it allows tocheck and correct for stationarity, detect spurious samples, check fornormality, check for periodicity, filter, perform spectral analysis, determinethe integral time scale, and perform uncertainty analysis on individual and onpropagated signals through a data reduction equation. The novelty of SCOUT liesin combining these various methods into one compact and easy-to-use toolbox,which enables students and professionals alike to analyze, characterize, andcorrect for signals without expert knowledge. The program is oriented towardstime traces, but an easy adaptation to spatial distributions can be performedby the user. SCOUT is available in two variants: a graphical user interface(GUI) and a script-based version. A key motivation of having two variants is tooffer maximum flexibility to adaptively and visually adjust the analysissettings using the GUI version and to enable large batch processingcapabilities and own code-integration using the script-based version. Thepackage includes both variants as well as three example scripts with theircorresponding signals.

SCOUT: Signal Correction and Uncertainty Quantification Toolbox in MATLAB