ARMASA

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

Description

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.

• MATLAB release: MATLAB 5.3 (R11)
• Other requirements: none

[Yiqi Liu]

excellent

[Rhys]

On Octave I have encountered trouble where the error checking in routines used or ("|") when shortcircuiting or ("||") was desired. E.g., in expressions like "if ~any(strcmp(fieldnames(ASAcontrol),'error_chk')) | ASAcontrol.error_chk". This can be discovered by running 'demo_simple' on Octave. Would you like a patch of the changes against 1.9?

- Rhys

[John]

 

[Evan]

Excellent!

[cai jemnbo]

Undefined function or method 'rc2arset'

[Hossam Abbas]

 

[St. Pappas]

I am working on a project for electrical resistivity. I have the data (time series) but i couldn't exactly fit a model. Armasa gave solution to my problem. Thank you very much.

[shahbazi feizollah]

hi i need power spectra density

[Amin Zollanvari]

 

[Vishnuvenkatesh Dhage]

 

[ji xiaoyan]

thank you again!

[ji xiaoyan]

thank you!
It's amazing!

[Andor Bariska]

Very easy to use AR/MA modeling and spectral analysis tool. Includes order selection via statistical criteria.

[ahmed eshbli]

 

[arun jb]

data for test

[Michael Gates]

Extensive set of tools, well documented.

[Shaikh Fattah]

Working excellent. Giving consistent result. I used it partly and also checked that part. Too many files (short/extended versions). Files required for a particular application, need to be gathered manually.