Space-time paradox due to relativistic-gravitational effects and measurement errors in the high-frequency synchronization of moving clocks

1998 ◽  
Vol 41 (7) ◽  
pp. 623-627
Author(s):  
E. V. Eremin
2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Fang Han ◽  
Zhijie Wang ◽  
Hong Fan ◽  
Yaopeng Zhang

High-frequency synchronization has been found in many real neural systems and is confirmed by excitatory/inhibitory (E/I) network models. However, the functional role played by it remains elusive. In this paper, it is found that high-frequency synchronization in E/I neuronal networks could improve the firing rate contrast of the whole network, no matter if the network is fully connected or randomly connected, with noise or without noise. It is also found that the global firing rate contrast enhancement can prevent the number of spikes of the neurons measured within the limited time window from being confused by noise, thereby enhancing the information encoding efficiency (quantified by entropy theory here) of the neuronal system. The mechanism of firing rate contrast enhancement is also investigated. Our work implies a possible functional role in information transmission of high-frequency synchronization in neuronal systems.


2021 ◽  
Author(s):  
Vladimir Sergeevich Milyutin ◽  
Eugeniy Vasilevich Rogozhnikov ◽  
Kirill Petrovskiy ◽  
Dmitriy Pokamestov ◽  
Edgar Dmitriyev ◽  
...  

Abstract Frequency synchronization is a necessary operation for all wireless communication systems. Due to the wide frequency range defined for 5G NR systems, this procedure becomes critical. To ensure high transmission rates and the use of high-order modulation, up to 256 QAM for 5G communication systems, it is necessary to ensure high frequency synchronization accuracy. In this article, we have reviewed various approaches to implementing frequency synchronization and proposed, in our opinion, the most effective method for correcting the frequency shift of the signal.


Proceedings ◽  
2018 ◽  
Vol 2 (13) ◽  
pp. 923
Author(s):  
Timo Salpavaara ◽  
Aleksi Hänninen ◽  
Jukka Lekkala ◽  
Minna Kellomäki

The readout methods for inductively coupled resonance sensors were simulated using a lumped element model. The purpose of the study was to analyze the readout methods at high frequencies where the self-resonance of the reader coil is likely to interfere with the measurements. Furthermore, the changes in the reading distance cause measurement errors. This phenomenon was studied using simulation. In addition, an algorithm that compensates these errors was tested. The simulation results were in agreement with the test measurements. In addition, the tested error compensation improved the resonance frequency estimates calculated using the simulated and measured data.


1995 ◽  
Vol 74 (10) ◽  
pp. 1740-1742 ◽  
Author(s):  
D. W. Peterman ◽  
M. Ye ◽  
P. E. Wigen

2010 ◽  
Vol 26 (3) ◽  
pp. 367-372 ◽  
Author(s):  
Aurel Coza ◽  
Benno M. Nigg ◽  
Ladina Fliri

Soft-tissue vibrations can be used to quantify selected properties of human tissue and their response to impact. Vibrations are typically quantified using high-speed motion capture or accelerometry. The aim of this study was to compare the amplitude and frequency of soft-tissue vibrations during running when quantified by highspeed motion capture and accelerometry simultaneously. This study showed: (a) The estimated measurement errors for amplitude and frequency were of the same order of magnitude for both techniques. (b) There were no significant differences in the mean peak frequencies and peak amplitudes measured by the two methods. (c) The video method showed an inability to capture high frequency information. This study has shown that a tradeoff has to be made between the accuracy in amplitude and frequency when these methods are employed to quantify soft tissue vibrations in running.


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