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A Statistical Method for Characterizing CMOS Process Fluctuations in Subthreshold Current Mirrors 被引量:2
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作者 张雷 余志平 贺祥庆 《Journal of Semiconductors》 EI CAS CSCD 北大核心 2008年第1期82-87,共6页
A novel method to characterize CMOS process fluctuations in subthreshold current mirrors (SCM) is reported. The proposed model is succinct in methodology and calculation complexity compared with previous statistical... A novel method to characterize CMOS process fluctuations in subthreshold current mirrors (SCM) is reported. The proposed model is succinct in methodology and calculation complexity compared with previous statistical models. However,it provides favorable estimations of CMOS process fluctuations on the SCM circuit, which makes it promising for engineering applications. The model statistically abstracts physical parameters, which depend on the IC process, into random variables with certain mean values and standard deviations, while aggregating all the random impacts into a discrete martingale. The correctness of the proposed method is experimentally verified on an SCM circuit implemented in an SMIC 0.18μm CMOS 1P6M mixed signal process with a conversion factor of 100 in an input range from 100pA to lμA. The pro- posed theory successfully predicts - 10% of die-to-die fluctuation measured in the experiment, and also suggests the -lmV of threshold voltage standard deviation over a single die,which meets the process parameters suggested by the design kit from the foundry. The deviations between calculated probabilities and measured data are less than 8%. Meanwhile, pertinent suggestions concerning high fluctuation tolerance subthreshold analog circuit design are also made and discussed. 展开更多
关键词 CMOS process fluctuations subthreshold current mirror random variable PROBABILITY discrete martingale
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Fluctuation Limits of the Single Point Catalytic Super-stable Processes
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作者 Li WANG 《Acta Mathematica Sinica,English Series》 SCIE CSCD 2014年第1期23-34,共12页
We prove a fluctuating limit theorem of a sequence of super-stable processes overR with a single point catalyst.The weak convergence of the processes on the space of Schwartz distributions is established.The limiting ... We prove a fluctuating limit theorem of a sequence of super-stable processes overR with a single point catalyst.The weak convergence of the processes on the space of Schwartz distributions is established.The limiting process is an Ornstein–Uhlenbeck type process solving a Langevin type equation driven by a one-dimensional stable process. 展开更多
关键词 Super-stable process single point catalyst fluctuation limit Langevin equation
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Monte Carlo analysis of a low power domino gate under parameter fluctuation
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作者 汪金辉 吴武臣 +3 位作者 宫娜 侯立刚 彭晓宏 高大明 《Journal of Semiconductors》 EI CAS CSCD 北大核心 2009年第12期113-117,共5页
Using the multiple-parameter Monte Carlo method, the effectiveness of the dual threshold voltage technique (DTV) in low power domino logic design is analyzed. Simulation results indicate that under significant tempe... Using the multiple-parameter Monte Carlo method, the effectiveness of the dual threshold voltage technique (DTV) in low power domino logic design is analyzed. Simulation results indicate that under significant temperature and process fluctuations, DTV is still highly effective in reducing the total leakage and active power consumption for domino gates with speed loss. Also, regarding power and delay characteristics, different structure domino gates with DTV have different robustness against temperature and process fluctuation. 展开更多
关键词 domino gate temperature and process fluctuation EFFECTIVENESS
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Novel distributed passive vehicle tracking technology using phase sensitive optical time domain reflectometer 被引量:3
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作者 王照勇 潘政清 +4 位作者 叶青 卢斌 方祖捷 蔡海文 瞿荣辉 《Chinese Optics Letters》 SCIE EI CAS CSCD 2015年第10期30-34,共5页
A novel distributed passive vehicle tracking technology is proposed and demonstrated. This technology is based on a phase-sensitive optical time domain reflectometer(Φ-OTDR) that can sense and locate vibrations. Tw... A novel distributed passive vehicle tracking technology is proposed and demonstrated. This technology is based on a phase-sensitive optical time domain reflectometer(Φ-OTDR) that can sense and locate vibrations. Two algorithms, dynamic frequency-space image and 2D digital sliding filtering, are proposed to distinguish a car's moving signals from severe environmental noises and disturbances. This technology is proved effective by field experiments for tracking a single car and multiple cars. This work provides a new distributed passive way for real-time vehicle tracking and this technology will be extremely important for traffic controlling and public safety in modern society. 展开更多
关键词 distinguish sliding OTDR extremely filtering traffic locate processed fluctuation running
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