In this paper, the modal analysis model, which is made up by a linear combination of complex exponential functions, is considered. The problem of estimating the number of modes as well as the frequencies, decays, amplitudes, and phases and their variability is afforded by means of the condensed distribution of the poles of Padé approximants to the -transform of the data. This provides a unified framework in which all of these problems can be solved in an almost automatic way. It is experimentally proved that the results favorably compare with that provided by well-established methods.
Barone, P., Ramponi, A. (2000). A new estimation method in modal analysis. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 48(4), 1002-1013 [10.1109/78.827534].
A new estimation method in modal analysis
RAMPONI, ALESSANDRO
2000-01-01
Abstract
In this paper, the modal analysis model, which is made up by a linear combination of complex exponential functions, is considered. The problem of estimating the number of modes as well as the frequencies, decays, amplitudes, and phases and their variability is afforded by means of the condensed distribution of the poles of Padé approximants to the -transform of the data. This provides a unified framework in which all of these problems can be solved in an almost automatic way. It is experimentally proved that the results favorably compare with that provided by well-established methods.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
