Combining GPS carrier phase and Doppler observations for precise velocity determination

The truncation error and propagation error are analyzed for velocity determination through differential GPS carrier phase observations,and an approach for the choice of the best number of points for the central difference method is developed.In order to overcome the disadvantages of existing GPS velocity determination methods,a new velocity determination algorithm is presented,based on combining carrier phase and Doppler observations.The basic idea is that two types of observation are combined by adding the...     

Constitutive theories for nonlocal micropolar continua with implicity and with multiple interactions

In this paper the constitutive theory for nonlocal micropolar continua which was proposed by A. C. Eringen is extended to the cases for nonlocal micropolar continua with implicity and with multiple interactions. Here nonlocal micropolar thermoelastic solids with implicity and with multiple interactions are cited as instances to illustrate the procedure for the establishment of their constitutive theories as well as two relevant theorems concerning the constitutive theories for those solids are given.     

单总体方差检验中一致最大势检验（UMPUT）临界值的研究

方差检验问题在实际生活中应用广泛,对于同一假设可能有不同的检验方法,这就涉及到检验方法的优劣性问题,本文就正态总体对单总体方差检验作了一些研究．对单总体问题,考虑H0：σ^2=σ0^2vsH1：σ^2≠σ0^2,通常采用的χ^2检验并不是无偏的,给出了无偏检验的临界值．将该无偏检验与常用的χ^2检验就势函数进行比较,指出当样本量n不大时二者是有差别的．     

飞行器气动参数辨识进展

飞行器气动参数辨识研究的主题,是应用系统辨识技术从飞行试验数据求取气动力,从而建立飞行器动力学系统的数学模型.它研究的对象是飞行器;解决的是空气动力学问题;采用的基本方程是飞行动力学的运动方程组;应用的研究手段是现代控制论的滤波、预测和估计理论.它是处于空气动力学、飞行力学、弹性力学和现代控制论之间的应用性研究课题. 本文综述了国内外公开发表的飞行器参数辨识研究的理论结果和实践经验,分八个专题——模型辨识,参数估计,数据预处理和相容性检验,试验设计与最佳输入,弹性与非定常效应,频域辨识,闭环辨识,辨识准度与系统验证——评述其研究进展和现状.      

统计递归集的Hausdorff测度的上、下界

给出了由随机压缩算子生成的统计递归集的Ｈａｕｓｄｏｒｆ测度上、下界的估计．也就是说,在一些条件下,找出了Ｋ（ω）∩∞ｎ＝１∪ｉ∈Ｎｎ（ω）ｆ（ω）ｎ,ｉ（Ｅ）的α－维Ｈａｕｓｄｏｒｆ测度的上、下界,其中｛ｆｎ,ｉ,１≤ｉ,ｎ＜∞｝是一族随机压缩算子,｛Ｎｎ（ω）,ｎ≥１｝是一族可数的随机指标集．     

基于机器视觉的梭子蟹质量估计方法研究

传统梭子蟹养殖定期质量估计的方法是捕捞部分梭子蟹进行称重,会对其造成物理和应激伤害,且检测过程中受到人为因素干扰,因此利用机器视觉技术对梭子蟹的质量进行估计.通过摄像头拍摄不同生长阶段的梭子蟹图像,对图像进行模板校正及图像分割,提取梭子蟹面积特征参数.利用最小二乘法对面积和质量进行拟合,其中二次多项式相关性最好可达到0.9220,测试平均相对误差6.40%,证明该方法可以满足梭子蟹质量估计的要求.     

Local minima for indefinite quadratic knapsack problems

We consider the complexity of finding a local minimum for the nonconvex Quadratic Knapsack Problem. Global minimization for this example of quadratic programming is NP-hard. Moré and Vavasis have investigated the complexity of local minimization for the strictly concave case of QKP; here we extend their algorithm to the general indefinite case. Our main result is an algorithm that computes a local minimum in O(n(logn)²) steps. Our approach involves eliminating all but one of the convex variables through parametrization, yielding a nondifferentiable problem. We use a technique from computational geometry to address the nondifferentiable problem.Supported in part by the Applied Mathematical Sciences subprogram of the Office of Energy Research, Department of Energy, under contract W-31-109-Eng-38, in part by a Fannie and John Hertz Foundation graduate fellowship, and in part by Department of Energy grant DE-FG02-86ER25013.A000.     

L1-optimal estimates for a regression type function in R

Let X₁, X₂, …, X_n be random vectors that take values in a compact set in R^d, d ≥ 1. Let Y₁, Y₂, …, Y_n be random variables (“the responses”) which conditionally on X₁ = x₁, …, X_n = x_n are independent with densities f(y | x_i, θ(x_i)), i = 1, …, n. Assuming that θ lives in a sup-norm compact space Θ_q,d of real valued functions, an optimal L₁-consistent estimator of θ is constructed via empirical measures. The rate of convergence of the estimator to the true parameter θ depends on Kolmogorov's entropy of Θ_q,d.     

位置参数估计量的损失函数之估计

本文考虑损失函数的估计问题,分别对于球对称分布和均匀分布情形给出了其参数的J-S型估计量的损失之估计,它们满足[1]中提出的条件(Ⅰ)和(Ⅱ).