应用互耦补偿的多天线无线系统容量分析

针对互耦对空域相关性影响的两种对立观点,分别应用不同的互耦补偿方法修正多天线系统的传输矩阵,推导出容量公式。通过电磁场数值方法并结合蒙特卡罗实验,指出了在射线模型下互耦对容量的作用需取决于入射波的角谱分布,随着中心到达角的变化,互耦从一个积极的因素变化成一个消极因素。在Kronecker信道模型下,通过数值计算证明了天线方向图相关与互耦矩阵补偿方法是等效的,从而统一了两种对立观点,完善了互耦对相关性作用的研究。     

从统计数据看中国知识产权保护的成效与差距

从媒体上公开的统计数据看，中国在专利、商标、版权、植物新品种与海关保护、打击侵权盗版等知识产权保护方面取得了很大成效，但也存在着知识产权文化的缺失、自主创新力不强、科研投入不足等差距。大量的系统的统计数据表明，需要从发展知识产权文化、实施知识产权战略等几方面努力来保护知识产权。     

Saddlepoint Approximations for the Difference of Order Statistics and Studentized Sample Quantiles

For a sample from a given distribution the difference of two order statistics and the Studentized quantile are statistics whose distribution is needed to obtain tests and confidence intervals for quantiles and quantile differences. This paper gives saddlepoint approximations for densities and saddlepoint approximations of the Lugannani–Rice form for tail probabilities of these statistics. The relative errors of the approximations are n ⁻¹ uniformly in a neighbourhood of the parameters and this uniformity is global if the densities are log-concave.     

一种自动排除偏差的在线式专家知识获取方法

针对操作指导专家系统中知识获取方面所存在的问题,提出了一种排除示例中的偏差,强化正例,自动获取知识的方法,实现了专家操作在线自动获取知识,有效地解决了专家知识的自提高问题。     

Cramér-von Mises statistics for discrete distributions

Cramér-von Mises statistics are developed for use in testing for discrete distributions, and tables are given for tests for the discrete uniform distribution.     

《绍兴师专学报》理科版论文及引文的统计分析与图书馆的采购工作

本文对1990年至1994年的《绍兴师专学报》理科版上本校师生的全部论文及其引文进行了统计分析，包括论文数量的专业分布，引文数量的专业分布，引文的文献类型分布，引文的语种、时间分布，引文的期刊分布等。据此，可为图书馆对图书和期刊的采购和收藏提供一些依据。     

Pseudo-likelihood estimation for a class of spatial Markov chains

We consider a class of finite state, two-dimensional Markov chains which can produce a rich variety of patterns and whose simulation is very fast. A parameterization is chosen to make the process nearly spatially homogeneous. We use a form of pseudo-likelihood estimation which results in quick determination of estimate. Parameters associated with boundary cells are estimated separately. We derive the asymptotic distribution of the maximum pseudo-likelihood estimates and show that the usual form of the variance matrix has to be modified to take account of local dependence. Standard error calculations based on the modified asymptotic variance are supported by a simulation study. The procedure is applied to an eight-state permeability pattern from a section of hydrocarbon reservoir rock.     

Conditioning of Marked Point Processes within a Bayesian Framework

Shale units with low permeability create barriers to fluid flow in a sandstone reservoir. A spatial stochastic model for the location of shale units in a reservoir is defined. The model is based on a marked point process formulation, where the marks are parameterized by random functions for the shape of a shale unit. This extends the traditional formulation in the sense that conditioning on the actual observations of the shale units is allowed in an arbitrary number of wells penetrating the reservoir. The marked point process for the shale units includes spatial interaction of units and allows a random number of units to be present. The model is defined in a Bayesian setting with prior pdfs assigned to size–shape parameters of shale units. The observations of shales in wells are associated with a likelihood function. The posterior pdf of the marked point process can only partially be developed analytically; the final solution must be determined by sampling using the Metropolis–Hastings algorithm. An example is presented, demonstrating the consequences of increasing the number of wells in which observations are made.     

Multivariate spatial interpolation and exposure to air pollutants

We develop and apply an approach to the spatial interpolation of a vector-valued random response field. The Bayesian approach we adopt enables uncertainty about the underlying models to be représentés in expressing the accuracy of the resulting interpolants. The methodology is particularly relevant in environmetrics, where vector-valued responses are only observed at designated sites at successive time points. The theory allows space-time modelling at the second level of the hierarchical prior model so that uncertainty about the model parameters has been fully expressed at the first level. In this way, we avoid unduly optimistic estimates of inferential accuracy. Moreover, the prior model can be upgraded with any available new data, while past data can be used in a systematic way to fit model parameters. The theory is based on the multivariate normal and related joint distributions. Our hierarchical prior models lead to posterior distributions which are robust with respect to the choice of the prior (hyperparameters). We illustrate our theory with an example involving monitoring stations in southern Ontario, where monthly average levels of ozone, sulphate, and nitrate are available and between-station response triplets are interpolated. In this example we use a recently developed method for interpolating spatial correlation fields.     

基于场所理论的春熙路商业步行街设计分析

罗格·特兰西克的场所理论认为,构成场所实体形态的三个主要要素是空间形态、建筑立面以及 街道铺装和家具,这些要素如果都能在建筑中得到正确体现,将会营造出良好的场所精神。改造后的春熙路商业 步行街虽然取得了一定经济效益,但在营造独特的场所精神方面却是失败的。