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In this paper a multivariable subspace-based identification method is applied to experimental modal analysis. The method shows its efficiency in the identification of data which is contaminated by a great amount of external noise. Numerical simulation is used to present the main characteristics of the method and compare its performance against other techniques currently used in experimental modal...