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A position sensor based on grating projection with spatial filtering and polarization modulation 被引量:3
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作者 胡建明 曾爱军 王向朝 《Chinese Optics Letters》 SCIE EI CAS CSCD 2006年第1期18-20,共3页
A position sensor based on grating projection with spatial filtering and polarization modulation is presented. A grating is projected onto the object to be measured through a 4f optical system with a spatial filter. A... A position sensor based on grating projection with spatial filtering and polarization modulation is presented. A grating is projected onto the object to be measured through a 4f optical system with a spatial filter. After reflected by the object, the grating projection is imaged on a detection grating through another 4f optical system to form moiré fringes, The polarization modulated moiré signal is detected to obtain the position information of the object. In the position sensor, the moiré signal varies sinusoidally with the position of object. The measurement is independent of the incident intensity on the projection grating and the reflectivity of the object to be measured, In experiments, the effectiveness of the position sensor is proved, and the root mean square (RMS) error at each measurement position is less than 13 nm. 展开更多
关键词 A position sensor based on grating projection with spatial filtering and polarization modulation
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Motor Imagery EEG Fuzzy Fusion of Multiple Classification
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作者 Lu-Qiang Xu Guang-Can Xiao 《Journal of Electronic Science and Technology》 CAS CSCD 2017年第1期58-63,共6页
Due to the volume conduction,electroencephalogram(EEG) gives a rather blurred image of brain activities. It is a challenge for generating satisfactory performance with EEG. This paper studies the multiple areas fusi... Due to the volume conduction,electroencephalogram(EEG) gives a rather blurred image of brain activities. It is a challenge for generating satisfactory performance with EEG. This paper studies the multiple areas fusion of EEG classifiers to improve the motor imagery EEG classification performance. Two feature extraction methods are employed to extract the feature from three different areas of EEG. One is power spectral density(PSD), and the other is common spatial patterns(CSP). Classifiers are designed based on the well-known linear discrimination analysis(LDA). The fusion of the individual classifiers is realized by means of the Choquet fuzzy integral. It is demonstrated that the proposed method comes with better performance compared with the individual classifier. 展开更多
关键词 classifier discrimination satisfactory imagery conduction generating challenge processed projection spatially
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