Low-voltage silicon （Si）-based light-emitting diode （LED） is designed based on the former research of LED in Si-based standard complementary metal oxide semiconductor （CMOS） technology. The low-voltage LED is designed under the research of cross-finger structure LEDs and sophisticated structure enhanced LEDs for high efficiency and stable light source of monolithic chip integration. The device size of low-voltage LED is 45.85x38.4 （#m）, threshold voltage is 2.2 V in common condition, and temperature is 27 ~C. The external quantum efficiency is about 10-6 at stable operating state of 5 V and 177 mA.
传统支持向量机分类过程的计算量和支持向量的个数成正比,当支持向量较多时,其分类过程的计算比较耗时。该文基于支持向量的稀疏性,证明了对支持向量压缩时,收紧新的快速决策函数和原始决策函数之间的误差等价于在样本空间对原始支持向量进行K均值聚类操作,据此提出了一种约简支持向量的快速分类算法FD-SVM(Fast Decision algorithm of Support Vector Machine),该算法首先对原始的支持向量进行特定比例的K均值聚类操作,聚类的中心为约简后新的支持向量,按照分类误差最小的原则构建优化模型,用二次规划方法求解得到新的支持向量的系数。标准数据集上的实验表明,保持分类精度的损失在统计意义上不明显的前提下,FD-SVM可以有效压缩支持向量的数量,提高分类速度。
This paper presents a third-order single-loop delta-sigma modulator of a biomedical micro-system for portable electroencephalogram（EEG） monitoring applications.To reduce the power consumption,the loop filter of the proposed modulator is implemented by applying a switched-capacitor structure.The modulator is designed in a 0.35-μm 2P4M standard CMOS process,with an active area of 365×290μm^2.Experimental results show that this modulator achieves a 68 dB dynamic range with an input sinusoidal signal of 100 Hz signal bandwidth under a 64 over-sampling ratio.The whole circuit consumes 515μW under a 2.5 V power supply,which is suitable for portable EEG monitoring.
