轨迹成型法加工球面光学零件面形精度分析

分析了轨迹成型法加工球面时影响零面形精度的多种因素，其中包括：工件回转轴与摆动轴不共面误差，工件回转轴与砂轮轴不共面误差，工件回转轴径向跳动、摆动误差，轴向窜动工件摆动轴的径向跳动以及砂轮的振动等因素对工件面形精度的影响。为了提高工件面形精度，首先应提高各回转轴和移动件的制造精度和减少配合误差，使其静刚度和动刚度提高，这是保证面形精度的最重要和基本的条件。     

流动注射氢化物发生-蒸气贮存脉冲进样原子荧光法测定地质样品中的痕量砷

本文研究了流动注射氢化物发生－蒸气贮存脉冲进样原子荧光法测定地质样品中痕量砷的方法，砷的灵敏度提高17.6倍，精密度(RSD)为2.1%，检出限为0.32ng/mL。用于地质标准样的测定，结果满意。     

抽样调查的设计与分析(Ⅱ)

本文讨论抽样调查实践中有关设计和数据分析中的若干问题．第二部分主要涉及数据处理与统计分析问题．     

Optimum design of four-bar function generators with minimum variance criterion

The closure equation of a four-bar linkage generally gives a nonzero result, which may be taken as an index of the error in the output for a given input. The actual output can be brought close to the desired value by specifying the mean error permissible in the entire range of operation and by minimizing the variance (standard deviation). The present method differs from the closed-form synthesis (i.e., precision-point synthesis), in the sense that it does not limit the number of precision points. The results show that the present method compares well with other methods.     

Head space gas chromatography with glass capillaries using an automatic electropneumatic dosing system

Head space GC using a special electropneumatic sampling system works well in combination with glass capillaries. Because a homogenous gas mixture is already present most problems inherent with inlet splitters are thus avoided. In cases where the high vapor pressure of the sample can cause problems with the pressure controlled sampling system, the use of narrow bore glass capillaries provides the necessary inlet pressure. The use of this powerful and convenient analytical tool for water pollution analysis, flavour analysis and the analysis of volatiles in crude oil samples is shown by examples.     

光电精确制导战术武器的发展

本文简述光电精确制导技术武器发展的基本特征，探讨新一代自动寻的精确制导战术武器发展的趋势和技术途径，分析精确制导战术武器的关键技术。     

空地激光通信跟踪精度主要外界影响因素研究

为了分析空地激光通信外界因素对跟踪精度的影响情况,将平台振动、大气湍流和背景光三个主要影响因素归结到对跟踪精度影响的统一框架下进行了研究。使用实际测量得到的平台振动数据,建立空地激光通信跟踪仿真系统,分析了不同条件下,三种外界因素对跟踪精度的综合影响情况。在文中假设基础上,分析可知:粗跟踪单元可以较好的抑制地面运动平台的振动,保证激光能够进入精跟踪视场;中强度的湍流使精跟踪残差标准差增大4倍左右,如果试验地点选择在高海拔地区,大气湍流使精跟踪残差标准差增大2倍左右。     

用于三维傅氏轮廓术的一种自适应基频带通滤波器

介绍了傅氏轮廓术的基本原理,通过仿真与调相频谱分析,提出了一种新的自适应基频带通滤波器算法。利用此算法设计出了基频带通滤波器并用于傅氏轮廓术的位相提取。结果表明,相对于非自适应性的滤波器,使用本文设计的滤波器其三维面型测量精度可以提高5％,并且具有稳定的重复测量精度,在不受主观因素的影响下实现了实时三维面形重建。以螺纹钢面型为例进行了位相提取实验,实验中计算了面型测量精度,并与理论仿真精度进行比对与分析,得出的实验结果与理论仿真结果相一致,验证了该算法的有效性。     

Frames arising from irreducible solvable actions I

In this work, we provide a unified method for the construction of reproducing systems arising from unitary irreducible representations of some solvable Lie groups. In contrast to other well-known techniques such as the coorbit theory, the generalized coorbit theory and other discretization schemes, we make no assumption on the integrability or square-integrability of the representations of interest. Moreover, our scheme produces explicit constructions of frames with precise frame bounds. As an illustration of the scope of our results, we highlight that a large class of representations which naturally occur in wavelet theory and time–frequency analysis is handled by our scheme. For example, the affine group, the generalized Heisenberg groups, the shearlet groups, solvable extensions of vector groups and various solvable extensions of non-commutative nilpotent Lie groups are a few examples of groups whose irreducible representations are handled by our method. The class of representations studied in this work is described as follows. Let G be a simply connected, connected, completely solvable Lie group with Lie algebra $\mathfrak{g}=\mathfrak{p}+\mathfrak{m}$. Next, let π be an infinite-dimensional unitary irreducible representation of G obtained by inducing a character from a closed normal subgroup $P=\exp ?\mathfrak{p}$ of G. Additionally, we assume that $G=P?M$, $M=\exp ?\mathfrak{m}$ is a closed subgroup of G, $d{\mu }_M$ is a fixed Haar measure on the solvable Lie group M and there exists a linear functional $\lambda \in {\mathfrak{p}}^{?}$ such that the representation $\pi ={\pi }_{\lambda }={\mathrm{ind}}_P^G\left({\chi }_{\lambda }\right)$ is realized as acting in $L^2(M,d{\mu }_M)$. Making no assumption on the integrability of ${\pi }_{\lambda }$, we describe explicitly a discrete subset Γ of G and a vector $\mathbf{f}\in L^2(M,d{\mu }_M)$ such that ${\pi }_{\lambda }\left(\mathrm{\Gamma }\right)\mathbf{f}$ is a tight frame for $L^2(M,d{\mu }_M)$. We also construct compactly supported smooth functions s and discrete subsets $\mathrm{\Gamma }?G$ such that ${\pi }_{\lambda }\left(\mathrm{\Gamma }\right)\mathbf{s}$ is a frame for $L^2(M,d{\mu }_M)$.     

Optimal rates for spectral algorithms with least-squares regression over Hilbert spaces

In this paper, we study regression problems over a separable Hilbert space with the square loss, covering non-parametric regression over a reproducing kernel Hilbert space. We investigate a class of spectral/regularized algorithms, including ridge regression, principal component regression, and gradient methods. We prove optimal, high-probability convergence results in terms of variants of norms for the studied algorithms, considering a capacity assumption on the hypothesis space and a general source condition on the target function. Consequently, we obtain almost sure convergence results with optimal rates. Our results improve and generalize previous results, filling a theoretical gap for the non-attainable cases.