基于循环神经网络的OFDM系统的失真补偿(英文)

在OFDM系统的发射机部分高功率放大器常常引起发射信号的非线性失真。对角循环神经网络是一类经过修正的全连接循环神经网络,在系统动态行为的俘获方面具有明显的优势。该文引入了这类对角循环神经网络,对发射信号在高功率放大之前进行前置补偿,对网络的训练提出了梯度下降算法。该算法具有更少的RAM需求和以盲起点为初始值的更快的网络收敛速度的特点。仿真显示以该神经网络作为前置补偿,系统具有更快的收敛速度和更少的RAM。     

Claiming loss in disability

Pervasive representations of disability carry associations with the idea of loss. These have been strongly rejected by the social model movement as stereotyping, which may perpetuate views of disabled people as ‘incomplete’, ‘vulnerable’ or needing rehabilitation. Discourses of ‘loss’, ‘acceptance’ and ‘denial’ remain a lens through which disabled persons are misknown. It is posited that ascribed notions of ‘loss’ serve to maintain feelings of control and mastery within the observer, quieting the destablising psychic threat which disability poses. Further, disabled people positioned as having to ‘deny’ imputed loss may be at risk of suffering self‐alienation relating to a mode of being which is (necessarily, understandably) preoccupied with ‘not being’ the personification of stereotype, at the expense of exploring aspects of identity and self; such an orientation embodies unstable foundations for an entitled, articulate disability movement. Conceptual ideas are based on the author’s experience as a disabled group psychotherapist working with severely physically impaired adults.     

粒子群优化的广义T-S模糊模型参数学习方法

提出了一种基于粒子群优化的广义T-S模糊模型参数学习方法。该方法用离散二进制微粒位置表示模型的结构参数,用普通微粒位置表示模型规则中模糊集隶属函数的参数;这两种微粒位置联合体构成一个模型完整的前件参数集。每一学习循环分两步,前一步用粒子群进化迭代调整所有前件参数,后一步用正交最小二乘法估计后件参数。该方法不需任何先验知识,运算量小,能产生紧凑的模糊模型。非线性动态系统模糊建模的数字仿真说明了该方法的有效性。     

Fisher information and maximum-likelihood estimation of covariance parameters in Gaussian stochastic processes

The inverse of the Fisher information matrix is commonly used as an approximation for the covariance matrix of maximum-likelihood estimators. We show via three examples that for the covariance parameters of Gaussian stochastic processes under infill asymptotics, the covariance matrix of the limiting distribution of their maximum-likelihood estimators equals the limit of the inverse information matrix. This is either proven analytically or justified by simulation. Furthermore, the limiting behaviour of the trace of the inverse information matrix indicates equivalence or orthogonality of the underlying Gaussian measures. Even in the case of singularity, the estimator of the process variance is seen to be unbiased, and also its variability is approximated accurately from the information matrix.     

空间无线光CDMA网络的探讨

通过对自由空通信中的多址环境空间无线光通信的强背景噪声等特点的分析以及对多种多址方式的对经，综合讨论自由空间无线光通信中采用码分多址技术的可行性、优越性和技术难点在此基础上，提出了码多址和空分多址相结合的方案以及ＣＤＭＡ的系统模型     

基于遗传算法的投影寻踪聚类

传统的投影寻踪聚类算法PROCLUS是一种有效的处理高维数据聚类的算法，但此算法是利用爬山法（Hill climbing）对各类中心点进行循环迭代、选取最优的过程，由于爬山法是一种局部搜索（local search）方法，得到的最优解可能仅仅是局部最优。针对上述缺陷，提出一种改进的投影寻踪聚类算法，即利用遗传算法（Genetic Algorithm）对各类中心点进行循环迭代，寻找到全局最优解。仿真实验结果证明了新算法的可行性和有效性。     

《古兰经》:伊斯兰的精神世界与行为导向

早期的宗教经典文献,是宗教创始时期民族集体生活经验的投射,它以善、恶的方式规定了亲和、攻击、禁忌的行为与对象,限制了社会行为的广度和深度,以演变成恒定的群体心理模式来适应社会生存,并作为社会契约代际传递。文章通过对世界三大宗教之一的伊斯兰教经典文献《古兰经》作文本投射分析,以期找寻出文本如何建构信仰及它所投射出的伊斯兰精神世界如何影响伊斯兰的社会结构与行为导向。     

On probability matching priors

First‐order probability matching priors are priors for which Bayesian and frequentist inference, in the form of posterior quantiles, or confidence intervals, agree to a second order of approximation. The authors show that the matching priors developed by Peers (1965) and Tibshirani (1989) are readily and uniquely implemented in a third‐order approximation to the posterior marginal density. The authors further show how strong orthogonality of parameters simplifies the arguments. Several examples illustrate their results.     

用正交试验法优选粘合工艺参数

介绍了在服装面料与衬粘合生产工艺中，如何用正交试验法优选工艺参数，指导生产．     

论弗洛伊德思想的启蒙价值

弗洛伊德从性本能冲动来分析人类的社会行为,指出社会伦理的基础不是宗教教义,而是人类的心理意识。他将宗教起源归结为人类意识的投射,其核心观念的上帝被解释成俄狄浦斯情结中的父亲幻想。他的启蒙思想继承了哥白尼、达尔文的实验理性传统,为人类科学地认识自身的心理机制和精神生活提供了一个全新的参照系。