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of electron structure by density function theory and electrochemical process of surface (100) of FeS2 LI Quan(黎 全)1, 2, QIN Wen-qing(覃文庆)1, SUN Wei(孙 伟)1 , QIU Guan-zhou(邱冠周)1 (1. School... (100) was computed by DFT (density function theory) and the process of electron transfer in sulfide flotation was simulated through ab-initio calculation. The results show that the interaction between......
; (20) where is the conditional probability of the system event, X=x, and fx(x) is the joint probability density function (PDF) of X. Using the proposed formulation in Eq...J. Cent. South Univ. (2017) 24: 178-189 DOI: 10.1007/s11771-017-3419-7 Nonlinear finite-element-based structural system failure probability analysis methodology for gravity dams considering......
Particle filter with importance density function generated by updated system equationZUO Jun-yi(左军毅)1, JIA Ying-na(贾颖娜)2, ZHANG Wei(张炜)1, GAO Quan-xue(高全学)3(1. School of Aeronautics, Northwestern... and can be obtained by running a suboptimal filter. Then, a new importance density function (IDF) was defined by the updated system equation. Particles drawn from the new IDF are more likely......
Particle filter based on iterated importance density function and parallel resamplingWU Yong(武勇), WANG Jun(王俊), CAO Yun-he(曹运合) (National Laboratory of Radar Signal Processing (Xidian University), Xi... importance density function (IIDF) was proposed, where a new term associating with the current measurement information (CMI) was introduced into the expression of the sampled particles. Through the repeated......
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, WANG Dan, JIANG Yu, QIN Shan, XUE Lei. Anomaly detection based on probability density function with Kullback–Leibler divergence [J]. Signal Processing, 2016, 126: 12-17. [13] BHATT V, DHAKAR M...J. Cent. South Univ. (2017) 24: 1299-1306 DOI: 10.1007/s11771-017-3535-4 Outlier detection based on multi-dimensional clustering and local density SHOU Zhao-yu(首照宇), LI Meng-ya(李萌芽), LI Si-min(李思敏......
that the Gaussian distribution model is hardly fulfilled for the real HSI data, many nonparametric algorithms [12–15] which do not need to assume probability density functions or estimate its covariance matrix.... It assumes that the probability density functions under the two hypotheses are Gaussian. Let H0 denote the background signal and H1 denote the target signal, the two hypothesis model is given......
height conforms to the Gaussian probability density function distribution. Various computational modeling issues that affect the accuracy of the predicted properties were discussed. The results show... (Gaussian) distribution, it will follow a probability density distribution shown as follows:  ......
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the probability density function (PDF) of linear or nonlinear dynamic systems through the stochastic dynamic responses. On this basis, some effective uniform points set of stochastic parameters mentioned in Eq. (10... to be normal distribution functions. There exists: (17) where i=1, 2, …, 6N; q=1, 2, …, npt; is the Rosenblatt transformation function;is the target normal probability density function; denotes......