ARMASA toolbox in Matlab. Features a unique program to estimate the power spectral density. The spectrum containing all significant details is calculated from a time series model. Model type as well as model order are determined automatically from the data, using statistical 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 using the data only.
Keywords for this software
References in zbMATH (referenced in 2 articles )
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- Tejada, Arturo; den Dekker, Arnold J.: A comparison between minimum variance control and other online compensation methods for specimen drift in transmission electron microscopy (2014)
- Douma, Sippe G.; Bombois, Xavier; Van den Hof, Paul M.J.: Validity of the standard cross-correlation test for model structure validation (2008)