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Spatial Information Obtained with Sensing Arrays

2 Spatial Information Obtained with Sensing Arrays [Pg.332]

The practical relevance of this example becomes apparent when we realize that a physical object, for example, a cylinder with diameter d, is placed in a flowing stream of linear velocity V. It generates a Kalman vortice street of eddy currents. The shedding frequency / of the eddies is given by the empirical formula [Pg.333]

This tells us how much energy in the original signal remains after some arbitrary delay time t. Next we compute the cross-correlation function Rxy(t), which contains information about energy shared between channel X and channel Y. [Pg.333]

Fourier transformation of (10.13) and (10.14) to the frequency domain yields energy spectral densities, specifically [Pg.334]

We are interested in the energy that is common to the two signals and define coherence y2 as the ratio of cross-energy spectral density SXx(a ) to the product of autospectral energy densities. [Pg.334]


See other pages where Spatial Information Obtained with Sensing Arrays is mentioned: [Pg.153]    [Pg.50]   


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