ARMASA

版本 1.2.0.0 (403.4 KB) 作者: Piet M T Broersen
Automatic program to estimate the power spectral density with only statistically significant details
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更新时间 2009/5/20

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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.

引用格式

Piet M T Broersen (2024). ARMASA (https://www.mathworks.com/matlabcentral/fileexchange/1330-armasa), MATLAB Central File Exchange. 检索来源 .

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版本 已发布 发行说明
1.2.0.0

update of demo programs and references

1.0.0.0

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