不遵守Bell不等式的量子缠绕(英)

本文给出正交态及非正交态的量子缠绕，通过分析两个实例，发现能够产生不遵守Bell不等式最大限度的缠绕态。     

一种新的天綫阵方向图綜合方法

由于互耦的影响,天线阵中各单元的电流分布各不相同,因此,传统的综合方法不能得到满意的方向图;而矩量法综合阵方向图时对大阵需要极大的计算量,限制了它的适用范围。本文提出了一种综合偶极子天线阵方向图的方法,并用它得到了几个低副瓣方向图。由于较好地处理了互耦的影响,这种方法极大地节省了计算时间和存贮单元,并使激励源型式具有很大的灵活性。本文的方法特别适用于大阵的方向图综合。     

MUSIC算法在高速并行处理机上的实现

利用FPGA的特点,提出了一种实现MUSIC算法的新的高速并行硬件解决方案。给出了对MUSIC算法进行预处理的结果,为硬件实现加速提供可能;导出了MUSIC算法适合于FPGA实现的并行分解方法;介绍了用FPGA来实现谱峰搜索的新方法。结果表明,该设计方法处理速度理想,能够满足实时性要求。     

Small orthogonal main effect plans with four factors

In this paper we study orthogonal main effect plans with four factors, A table of such designs, where each factor has at most 10 levels, and there are at most 40 runs, is generated. We determine the spectrum of the degrees of freedom of pure error for these designs.     

基于行列合成的实值二维Root-MUSIC算法

在低仰角及多径环境下,常规二维波达方向估计的高分辨方法需要特征值分解或者多维搜索,运算量巨大,文中提出了一种基于行列合成处理和实值二维Root-MUSIC测角的双迭代方法.该方法由某个初始二维角度出发,首先进行行列合成,将面阵接收的数据矩阵合成为行列矢量,然后用实值Root-MUSIC分别估计俯仰角和方位角,最后由更新的二维角度重构加权向量,对阵列数据进行行列合成并重新估计二维角度,其迭代直至得到的二维角度满足给定的精度.该方法操作简单、收敛速度快,由于引入了实值域处理,在对多径信号解相关的同时进一步降低了运算量.计算机仿真结果证实了该方法估计低仰角信号的二维波达方向的正确有效性.     

Book Reviews

Books reviewed:
Robert E., Kass and Paul W., Vos, Geometrical Foundations of Asymptotic Inference: Curved Exponential Families
G.S., Maddala and C.R., Rao, (eds) Handbook of Statistics 15: Robust Inference
Gregory C., Reinsel, Elements of Multivariate Time Series Analysis
Murray, Rosenblatt, Gaussian and Non-Gaussian Linear Time Series and Random Fields
William S., Mallios, The Analysis of Sports Forecasting: Modeling Parallels Between Sports Gambling and Financial Markets
Alain, Desrosières, The Politics of Large Numbers — A History of Statistical Reasoning
Mahmut, Parlar, Interactive Operations Research with MAPLE Methods and Models     

Extrapolation and confounding in accelerated material degradation and failure studies

The fundamental difficulty with inference in nontrivial extrapolation where model selection is involved from a rich space of models is that any model estimated in one regime used for decision making in another is fundamentally confounded with disruptive alternatives. These are alternative models which if true would support a diametrically opposed action from the one the estimated model supports. One strategy to support extrapolation and reduce arbitrary fitting and confounding is to force the model to derive from the same mathematical structure that underlies the substantive science appropriate for the phenomena. Then statistical model fitting follows the form of theory generation in artificial intelligence, with statistical model selection tools and the statistician taking the place of the inference engine.     

MEMS加速度传感器的引信数据采集系统设计

论述了侵彻引信系统的数据采集系统设计与实现。该系统采用MEMS阵列式加速度传感器获取冲击过程中的加速度值,将可测量加速度范围提高105g以上。利用FPGA芯片实现八路并行数据采集,通过对输入数据的有效选择和64阶数字FIR滤波处理,实现了高速冲击加速度的高精度测量;同时减小了引信数据采集系统的体积,提高了系统的可靠性,便于维护与升级。     

模拟复合正交神经网络在轴向磁轴承中的控制研究

在数字复合正交神经网络(NN)的基础上提出一种模拟复合正交神经网络,并用于轴向磁轴承的控制中.控制器采用模拟复合正交神经网络与PID的并行控制方法,对带有负载干扰的轴向磁轴承控制系统作了PID控制与NN PID控制的仿真实验.仿真结果表明,相对于常规PID控制器,该并行控制法具有非常好的抗干扰与自适应能力,获得了满意的控制效果.