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Driver Fatigue Classification With Independent Component by Entropy Rate Bound Minimization Analysis in an EEG-Based System

机译：通过基于EEG的系统中的熵率最小化分析，驾驶员疲劳分类与独立组成部分

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Rifai Chai; Ganesh R. Naik; Tuan Nghia Nguyen; Sai Ho Ling; Yvonne Tran; Ashley Craig; Hung T. Nguyen;
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年度 2017
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1. Driver Fatigue Classification With Independent Component by Entropy Rate Bound Minimization Analysis in an EEG-Based System [J] . Rifai Chai, Ganesh R. Naik, Tuan Nghia Nguyen, Biomedical and Health Informatics, IEEE Journal of . 2017,第3期

机译：基于EEG的系统中基于熵率有界最小化分析的独立分量驾驶员疲劳分类
2. Independent Component Analysis by Entropy Bound Minimization [J] . Li X.-L., Adali T. Signal Processing, IEEE Transactions on . 2010,第10期

机译：通过熵界最小化进行独立分量分析
3. Complex Independent Component Analysis by Entropy Bound Minimization [J] . Li X.-L., Adalı T. Circuits and Systems I: Regular Papers, IEEE Transactions on . 2010,第7期

机译：熵约束最小化的复杂独立分量分析
4. Channels Selection using Independent Component Analysis and Scalp Map Projection for EEG-based Driver Fatigue Classification [C] . Rifai Chai, Ganesh R. Naik, Sai Ho Ling, Annual International Conference of the IEEE Engineering in Medicine and Biology Society . 2017

机译：频道选择使用独立组件分析和头皮地图投影，用于基于EEG的驱动器疲劳分类
5. Improving the bit error rate performance of a GSM system using an independent component analysis based non-linear filter. [D] . Singh, Kumarabhijeet. 2008

机译：使用基于独立成分分析的非线性滤波器来改善GSM系统的误码率性能。
6. Improving EEG-Based Driver Fatigue Classification Using Sparse-Deep Belief Networks [O] . Rifai Chai, Sai Ho Ling, Phyo Phyo San, 2017

机译：使用稀疏-深信度网络改善基于EEG的驾驶员疲劳分类
7. Channels selection using independent component analysis and scalp map projection for EEG-based driver fatigue classification [O] . Rifai Chai, Ganesh R. Naik, Sai Ho Ling, 2017

机译：频道选择使用独立组件分析和头皮地图投影，用于基于EEG的驱动器疲劳分类
8. Independent Components Analysis by Direct Entropy Minimization [R] . Miller, E G, Fisher, J W 2003

机译：直接熵最小化的独立分量分析

Driver Fatigue Classification With Independent Component by Entropy Rate Bound Minimization Analysis in an EEG-Based System

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