Blind Modal Identification with Hankel Matrices (BMIDHM) toolbox

Versione 1.1.0.0 (6,85 MB) da Scot McNeill
This toolbox is for performing modal identification from ambient random data.
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Aggiornato 11 giu 2013

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This toolbox is for performing modal identification from ambient random data.

Developed by Scot McNeill, January 2013.

To get started, run the example bmid_6dof_rand.m in the 6dof_rand_hm folder.
Control systems toolbox is required to run the 6 DOF simulation, else
a data file generated from the simulation is loaded.

Any works published whereby the BMIDHM method or any of the tools in this toolbox were employed,
the following references must be cited.

McNeill, S., “A Modal Identification Algorithm Combining Blind Source Separation and State Space
Realization,” Journal of Signal and Information Processing 4(2), 173-185, 2013.

Thanks to Alle-Jan van der Veen for the wsf_AB code!

Cita come

Scot McNeill (2025). Blind Modal Identification with Hankel Matrices (BMIDHM) toolbox (https://it.mathworks.com/matlabcentral/fileexchange/42053-blind-modal-identification-with-hankel-matrices-bmidhm-toolbox), MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R2007b
Compatibile con qualsiasi release
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bmidhm_pkg/

bmidhm_pkg/6dof_rand_hm/

Versione Pubblicato Note della release
1.1.0.0

Changed description
1.0.0.0