Noise attenuation of quadrotor using phase synchronization method

2021 ◽  
pp. 107018
Author(s):  
Guan Shujun ◽  
Lu Yang ◽  
Su Taoyong ◽  
Xu Xice
2013 ◽  
Vol 811 ◽  
pp. 426-429
Author(s):  
Xue Min Zhang ◽  
Zeng Gang Xiong ◽  
Zhen Dong Mu

Authentication more prominent characteristics of self-control, identify the relative characteristics and identification, data analysis more difficult, phase synchronization method of this paper, a set of EEG data collected for analysis to each experimenter as a sample set for feature extraction, and then in a group of experimenters internal identification, the recognition rate up to 45%, and the use of event evoked potentials for the accuracy of the identification has a large gap, but in some less demanding recognition rate under a certain value.


Micromachines ◽  
2021 ◽  
Vol 12 (11) ◽  
pp. 1292
Author(s):  
Fahu Xu ◽  
Dayong Qiao ◽  
Changfeng Xia ◽  
Xiumin Song ◽  
Yaojun He

MEMS-based LiDAR (micro-electro–mechanical system based light detection and ranging), with a low cost and small volume, becomes a promising solution for the two-dimensional (2D) and three-dimensional (3D) optical imaging. A semi-coaxial MEMS LiDAR design, based on a synchronous MEMS mirror pair, was proposed in our early study. In this paper, we specifically reveal the synchronization method of the comb-actuated MEMS mirror pair, including the frequency, amplitude, and phase synchronization. The frequency sweeping and phase adjustment are simultaneously implemented to accelerate the MEMS mirror synchronization process. The experiment is set up and the entire synchronization process is completed within 5 s. Eventually, a one-beam MEMS LiDAR system with the synchronous MEMS mirror pair is set up and a LiDAR with a field of view (FOV) of 60°, angular resolution of 0.2°, and frame rate of 360 Hz is obtained. The experimental results verify the feasibility of the MEMS mirror synchronization method and show a promising potential application prospect for the MEMS LiDAR system.


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