天津大学教师个人主页系统孟庆浩 [2] Hui-Rang Hou; Qing-Hao Meng; Ming Zeng; Biao Sun. Improving Classification of Slow Cortical Potential Signals for BCI Systems with Polynomial Fitting and Voting-Support-Vector-Machine. IEEE Signal Processing Letters, 2017, 99: 1-1. Personal Profile

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Meng Qinghao

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School of Electrical and Information Engineering

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Professor

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Associate dean

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Control Science and Technology

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Selected Papers

Current position: Personal Profile > Academic Achievements > Selected Papers

[2] Hui-Rang Hou; Qing-Hao Meng; Ming Zeng; Biao Sun. Improving Classification of Slow Cortical Potential Signals for BCI Systems with Polynomial Fitting and Voting-Support-Vector-Machine. IEEE Signal Processing Letters, 2017, 99: 1-1.

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Pre One:[3] Wei Zhao, Qing-Hao Meng, Ming Zeng and Pei-Feng Qi. Stacked Sparse Auto-Encoders (SSAE) Based Electronic Nose for Chinese Liquors Classification. Sensors, 2017, 17, 2855; doi: 10.3390/ s17122855.

Next One:[1] Ying-Jie Liu; Qing-Hao Meng; Pei-Feng Qi; Biao Sun; Xin-Shan Zhu. Using Spike-Based Bio-Inspired Olfactory Model for Data Processing in Electronic Noses. IEEE Sensors Journal, 2018, 18 (2): 692 - 702.