Automatic program to estimate the power spectral density with only statistically significant details


Updated 20 May 2009

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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.

Cite As

Piet M T Broersen (2023). ARMASA (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R11
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes

update of demo programs and references

One program/variable had the same name.
That was forbidden the newest MATLAB release 7 (R14)