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To assess the robustness of the macroscopic network properties versus the variation of the sampled data and the sample size, we have performed a sub-sampling experiment.
(b) The sampled data (real and imaginary part).
Pre-processing techniques including dimensionality reduction and normalization are then applied on the sampled data.
Polar maps of the relative uptake activity were formed from the sampled data.
Whether a whole service network can process the sampled data in real-time needs further analysis.
The cornerstone of this method is the close relationship between the sampled data and unsampled data.
Similar(31)
In order to effectively deal with the sampled-data, the author investigated the sampled-data state estimation of neural networks by using a discontinuous Lyapunov functional approach [22, 23].
The sampled-data synchronization controller can be designed provided that the sampling condition satisfies some additional condition.
Herein we focus on the sampled-data observer design problem.
The sampled-data control theory also has rapidly developed.
A comparison with the sampled-data method is made, along with some design examples, which shows the advantage of the sampled-data method.
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