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Yimin Zhang [3, 4] found the intrinsic relation between the spatial time-frequency distribution matrix and the covariance matrix of the array output.
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In this section, we extend this technique into the spatial time-frequency framework.
The spatial frequency of the oscillations depends on the distance between the monocomponents in time-frequency plane; that is, the farther apart the components, the higher the oscillation frequency.
(3) The eigenvalue decomposition, construction of the noise subspace, and construction of the spatial spectrum are carried out on the constructed spatial polarimetric time-frequency distribution matrix, respectively. .
Spatial Polarization Time-Frequency Distribution.
The time-frequency (spatial) variability was integrated into the model by specifying an exponential spatial correlation model for the model residuals.
To present a spatial map of the time-frequency response, a considerable amount of information gained from the time-frequency analysis is simply wasted due to averaging across time and frequency.
This mechanism generates a correlation between the spatial frequency map and selectivity for orientation, as observed experimentally [83], [84], [97].
(2) Using the estimated signal parameters to select points in the time-frequency domain, the different frequency parameters of the signal were selected on their respective time-frequency ridge points to construct their own spatial polarimetric time-frequency distribution matrix.
To test for the main effect of spatial attention, t tests were calculated for the difference between "Attend_Left" and "Attend_Right" for each grid point in the respective time-frequency windows.
SDMA superposes users in the same time-frequency resource and separates user via a proper use of the spatial dimensions.
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