Exact(6)
In Figure3, simulation results show that our proposed approach has better performance in timing synchronization at very low SNR.
In Figure 4, simulation results show that our proposed approach has better performance in timing synchronization at very low SNR.
From the simulation results, the proposed approach has excellent performance in timing synchronization under several channel models at signal-to-noise ratio smaller than 1dB.
The reason why the scheme in [17] has poor performance in timing synchronization are that AWGN affects the entire fine time adjustment process at low SNR and wide interval for fine time adjustment, especially in CH I and CH II.
As for [17], different choices in threshold factor α may lead to the poor performance in timing synchronization.
However, much more information in the frequency-domain can be utilized to achieve better performance in timing synchronization.
Similar(54)
Despite performance in all tasks being poor in HD, only performance in timing-tasks was inversely related to the duration until the estimated age of onset (eAO) in pHDs [see: 15].
For instance, the firing rate of striatal and cortical neurones has been found to track timing performance in immediate timing schedules [5,6], and lesions of the dorsal striatum in rats have been found to disrupt timing on these schedules [7].
Figure 3 and Table 2 demonstrate that our proposed algorithm has excellent performance in coarse timing and frequency synchronization.
Performance in both timing tasks was related to the duration until the estimated age of onset in pHDs.
Additionally, performance in the timing tasks (i.e. TE- and TD-task) was related to the estimated age of onset (eAO) in pHD.
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