Frequency domain decomposition

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The frequency domain decomposition (FDD) is an output-only

1. Estimate the
   power spectral density
   matrix ${\displaystyle {\hat {G}}_{yy}(j\omega )}$ at discrete frequencies ${\displaystyle \omega =\omega _{i}}$.
2. Do a singular value decomposition of the power spectral density, i.e. ${\displaystyle {\hat {G}}_{yy}(j\omega _{i})=U_{i}S_{i}U_{i}^{H}}$ where ${\displaystyle U_{i}=[u_{i1},u_{i2},...,u_{im}]}$ is a unitary matrix holding the singular vectors ${\displaystyle u_{ij}}$, ${\displaystyle S_{i}}$ is the diagonal matrix holding the singular values ${\displaystyle s_{ij}}$.
3. For an ${\displaystyle n}$ degree of freedom system, then pick the ${\displaystyle n}$ dominating peaks in the power spectral density using whichever technique you wish (or manually). These peaks correspond to the
   mode shapes.^[1]
   1. Using the mode shapes, an input-output system realization can be written.

• Eigensystem realization algorithm - an input/output identification technique

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