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Recently, many works have focused on synchronization induced by more realistic complex network systems with the small-world property, the scale-free degree distribution, and the modular hierarchical structure [ 11, 19, 20].
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To focus on synchronization, the channel frequency response used for channel equalization is assumed to be perfectly known at the receiver.
The robustness test consists of two categories: one is focused on frame synchronization, and the other is concerned with watermark recovery.
It should be remarked that case (1) is focused on the synchronization process, and cases (2) and (3) are associated to data transmission.
This model, nevertheless, remains focused on the synchronization condition, without any perspective of extension to self-paced or syncopation conditions.
The authors focused on the synchronization between the hand and the CoP velocity profiles and on the characteristics of CoP and hand kinematics (CoP maximal velocity [MV]; CoP time to maximal velocity [TMV]; hand peak velocity [PV]; and hand time to peak velocity [TPV]; see Figure 1).
We focus on the synchronization degree the parameter from graph theory that describes the richness of connectivity (based on oscillatory phase synchronization) that each electrode has with other electrodes.
This paper focuses on chaos synchronization.
However, these papers mainly focus on the synchronization in mean square.
One is that there are few works focus on the synchronization of FONNs by means of observer.
This paper focuses on the synchronization control methodology for a class of delayed reaction diffusion memristor-based neural networks.
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