ARMASA toolbox

Features a unique program to estimate the power spectral density. The
spectrum containing all significant details is calculated from a selected time series model. The model type as well as the model order are determined automatically from the data, using statistical selection criteria. Robust estimation algorithms and order selection criteria are used to obtain reliable results. Unlike in FFT analysis, where the experimenter has to set the amount of smoothing of the raw FFT, the right level of detail is assessed automatically using the data only.