A note on generalized averaged Gaussian formulas

We have recently proposed a very simple numerical method for constructing the averaged Gaussian quadrature formulas. These formulas exist in many more cases than the real positive Gauss–Kronrod formulas. In this note we try to answer whether the averaged Gaussian formulas are an adequate alternative to the corresponding Gauss–Kronrod quadrature formulas, to estimate the remainder term of a Gaussian rule.     

一种非刚性医学图像点匹配方法

提出了一种非刚性点匹配的算法并把其运用于医学图像配准．该算法采用信号滤波的方法来获得点集间的匹配信息，并运用松弛标记法将各点邻域关系对模糊的匹配信息进行迭代获得明确的匹配关系．在此基础上，利用高斯径向基函数来描述点模式间的弹性形变，在基本的迭代框架下实现问题的求解．实验结果显示在形变程度为5％、出格点比率50％和噪声标准差为5％的情况下该算法的匹配误差能控制在0．13以下，表明了该算法的鲁棒性和有效性，较好地解决了医学非刚性形变的点匹配问题．     

基于语义的软件服务故障自动诊断模型

模仿学习是机器人仿生机制研究的主要内容之一,即通过观察、理解、学习、模仿示教行为实现机器人的仿生特性。基于高斯过程分别表达采集离散示教信号所构成的示教轨迹和含有未知参数策略的模仿轨迹,构建模仿学习方法框架,将概率模型匹配引入到模仿学习中,以KL散度为代价函数比较两种轨迹的概率分布,运用梯度下降法寻求使KL散度最小的最优模仿控制策略,将策略应用于模仿机器人以完成与示教相同的模仿任务。以关节型机器人的机械臂摆动行为模仿为学习任务进行仿真,结果表明基于概率轨迹匹配的模仿学习方法能够实现机械臂摆动行为模仿,学习过程较传统方法简易且学习效果较好。     

有色噪声中一种新频谱检测器的设计

高效、可靠地检测到主用户的存在与否是认知无线电的一个重要环节.在实际生活中,观测噪声常为时间相关的高斯有色噪声,如果运用传统的基于高斯白噪声假设的频谱检测算法,检测性能将显著降低.该文以高斯有色噪声为背景,首先采用线性模型估计导频信号,然后根据估计的参数设计基于似然比的检测器,并推导得到了检测概率和虚警概率的解析式.仿真结果表明:在低信噪比下,与能量检测相比较,所提方案能有效地提高检测概率和检测速度.     

四阶色散对飞秒高斯脉冲传输的影响

推导了考虑二、三、四阶色散的高斯脉冲传输方程;利用计算机数值模拟的方法,研究了四阶色散(FOD)对飞秒高斯脉冲在单模光纤中传输特性的影响.模拟结果显示：只有在入射脉冲宽度窄到飞秒量级时,即对应传输速率很高的情况下,FOD对脉冲的影响才明显;FOD导致脉冲形状发生了畸变,畸变特点不同于二、三阶色散;随着初始脉宽逐渐减小,FOD所致的飞秒高斯脉冲畸变经历了一个脉冲仅仅展宽,到展宽脉冲的两翼出现“底座”,到展宽脉冲的两翼出现具有微小振荡“底座”的变化过程.     

置信水平过渡中应注意的问题

在置信水平过渡中,常采取在合成不确定度σ的基础上,乘以置信因子C的方法,这种方法有时会造成置信水平失实,分析失实的原因和应注意的问题.     

Finite-Difference Time-Domain Analysis of the Interaction of Gaussian Evanescent Light with a Single Dielectric Sphere or Ordered Dielectric Spheres

The interaction of gaussian evanescent light with a single dielectric sphere or ordered dielectric spheres in an attenuated total reflection (ATR) geometry was analyzed by the finite-difference time-domain method. Various aspects of this interaction were investigated in terms of spatial visualizations of light intensity, reflectance vs. wavelength characteristics, the transient behavior of reflectances, and so forth. In the case of a single sphere, it was evident that the whispering gallery mode can be excited in ATR geometries, but such excitation cannot be easily confirmed only through the observation of wavelength-scanned ATR spectra. In the case of a closely packed two-dimensional array of dielectric spheres, it was found that an easy axis and also a difficult axis for light propagation exist.This paper was originally presented at the 5th International Conference on NEAR FIELD OPTICS and RELATED TECHNOLOGIES (NFO-5), which was held on December 6–10, 1998 at Coganoi Bay Hotel, Shirahama, Japan, in cooperation with the Japan Society of Applied Phisics and Mombusho Grantin Aid for Scientific Research on Priority Areas “Near-field Nano-optics” Project, sponsored by Japan Society for the Promotion of Science.     

空气中PM2.5的扩散衰减与预测分析

以西安市2013年1月1日-9月19日的空气污染监测数据为例,采用非稳态的二维多箱模型,综合考虑了风向、季节等因素的影响,对西安市PM2.5的面源污染扩散和衰减规律进行模拟预测,计算模型相对误差;再选用高斯模型对某一天西安市突发情况下PM2.5浓度扩散情况进行点源污染扩散预测,并评价模型的有效性.     

Conversion of Gyrotron Output into a Gaussian Beam Using the Far-Field

A compact system to convert gyrotron output into an intense gaussian beam has been designed by introducing an intermediate focusing element into the quasi-optical system. The design is significantly simplified by applying gaussian optics and confirmed by application of the Huygens equation. The beam quality is improved by truncating the sidelobes of the far-field. In spite of the beam truncation, only a small fraction (11 %) of the beam power is sacrificed.     

基于匹配分布和混合高斯模型的车辆检测算法

为解决高斯混合模型GMM（Gaussian Mixture Model）在车辆检测中存在的车辆断裂等问题, 提出了一种基于匹配度分布的混合高斯车辆检测算法。该算法采用c均值聚类法计算混合高斯模型初始值, 得到初步的背景模型； 匹配度分布的提出充分考虑了背景变化的时间性和空间性的特性； 根据前几帧检测结果得到每个点的匹配度分布, 对当前图片改变背景学习的规则, 去除了干扰, 适应了背景的变化。实验结果表明, 该算法较传统的混合高斯检测方法检测率平均提高16%以上, 使背景也更稳定和准确, 克服了车辆检测的断裂以及光照突变等问题, 提高了车辆区域检测的准确性。