An inversion formula for a matrix polynomial about a (unit) root

A solution to the problem of a closed-form representation for the inverse of a matrix polynomial about a unit root is provided by resorting to a Laurent expansion in matrix notation, whose principal-part coefficients turn out to depend on the non-null derivatives of the adjoint and the determinant of the matrix polynomial at the root. Some basic relationships between principal-part structure and rank properties of algebraic function of the matrix polynomial at the unit root as well as informative closed-form expressions for the leading coefficient matrices of the matrix-polynomial inverse are established.     

Sparse bivariate polynomial factorization

Motivated by Sasaki’s work on the extended Hensel construction for solving multivariate algebraic equations, we present a generalized Hensel lifting, which takes advantage of sparsity, for factoring bivariate polynomial over the rational number field. Another feature of the factorization algorithm presented in this article is a new recombination method, which can solve the extraneous factor problem before lifting based on numerical linear algebra. Both theoretical analysis and experimental data show that the algorithm is efficient, especially for sparse bivariate polynomials.     

Liouvillian and analytic integrability of the quadratic vector fields having an invariant ellipse

We characterize the Liouvillian and analytic integrability of the quadratic polynomial vector fields in R2 having an invariant ellipse.More precisely,a quadratic system having an invariant ellipse can be written into the form x=x2＋y2-1＋y（ax＋by＋c）,y=x（ax＋by＋c）,and the ellipse becomes x2＋y2=1.We prove that（i） this quadratic system is analytic integrable if and only if a=0;（ii） if x2＋y2=1 is a periodic orbit,then this quadratic system is Liouvillian integrable if and only if x2＋y2=1 is not a limit cycle;and（iii） if x2＋y2=1 is not a periodic orbit,then this quadratic system is Liouvilian integrable if and only if a=0.     

Skew Hadamard Difference Sets from Dickson Polynomials of Order 7

Skew Hadamard difference sets have been an interesting topic of study for over 70 years. For a long time, it had been conjectured the classical Paley difference sets (the set of nonzero quadratic residues in where ) were the only example in Abelian groups. In 2006, the first author and Yuan disproved this conjecture by showing that the image set of is a new skew Hadamard difference set in with m odd, where denotes the first kind of Dickson polynomials of order n and . The key observation in the proof is that is a planar function from to for m odd. Since then a few families of new skew Hadamard difference sets have been discovered. In this paper, we prove that for all , the set is a skew Hadamard difference set in , where m is odd and . The proof is more complicated and different than that of Ding‐Yuan skew Hadamard difference sets since is not planar in . Furthermore, we show that such skew Hadamard difference sets are inequivalent to all existing ones for by comparing the triple intersection numbers.     

基于多项式调频Fourier变换的信号分量提取方法

为了从含有噪声的混合信号中有效提取各个信号分量, 提出一种基于多项式调频Fourier变换的分量提取方法. 通过研究Fourier变换和分数阶Fourier变换的信号能量积累方式及变换基函数的时频表示, 提出利用时频平面上的多项式调频曲线族代替Fourier变换和分数阶Fourier 变换的调频直线族, 将变换的适用范围扩展到非线性调频信号. 采用粒子群智能优化算法搜索调频曲线族的最优多项式参数, 使混合信号中的某一分量在多项式调频Fourier域上能量谱集中. 最后对能量谱集中的分量进行窄带滤波, 并利用多项式调频逆Fourier变换重构信号分量. 仿真实验结果表明, 该方法不仅能够提取混合信号中的线性调频分量, 还能够实现非线性调频分量的能量谱集中、信号分离和时频特征提取.     

我国地区8～12μm波段大气透过率的MATLAB多项式拟合计算

利用MATLAB提供的多项式拟合函数，对不同气象条件下我国地区8～12μm波段的LOWTRAN大气透过率数据进行拟合，给出了相应的多项式拟合系数。计算表明当多项式阶次取6时，拟合曲线与原始数据几乎完全重合，两者之间的误差绝对值绝大多数都在10^-4数量级，甚至更小。拟合函数构造简单，使用方便，容易与各种软件平台集成。     

蒙特卡罗方法模拟薄膜电致发光器件中碰撞离化的作用

基于经验赝势法得到的能带结构数据，采用分段多项式拟合获得ZnS能带结构的解析表达式 ，建立解析能带模型.使用建立的模型计算得到各能谷的态密度和总的散射速率,并与文献 的计算结果进行了对比，验证该解析能带模型既具有非抛物型多能谷能带模型运算速度快、 使用方便的优势,又具有与采用全导带模型相近的计算精度.进一步利用该模型进行蒙特卡罗 模拟，得到第一导带和第二导带中电子数随电场强度的变化、不同电场中能量分布函数以及 包含与不包含碰撞离化情况下电子能量随时间变化的曲线.讨论在外加电场下，电子在导带 内各个能谷间和 关键词： 蒙特卡罗模拟 解析能带模型 多项式拟合 碰撞离化     

一种快速高精度激光CCD自准直仪圆目标中心的定位方法

为满足高精度测量和瞄准跟踪系统中对激光CCD自准直仪的测量精度和实时性的要求,提出一种快速高精度激光CCD自准直仪圆目标中心的定位方法。首先利用变结构元广义形态学边缘检测算法,充分提取图像边缘细节信息的同时抑制图像噪声的影响,然后采用多项式插值算法对圆目标轮廓进行快速亚像素定位,最后利用最小二乘拟合方法实现了圆目标中心的精确定位。实验结果表明,该定位方法稳定性好,定位精度高且实时性强,应用该方法改进后激光CCD自准直仪的测量精度由2″提高到±0.25″,且单次测量时间小于0.23s,可满足激光CCD自准直仪在小角度测量和瞄准跟踪等领域的高精度实时测量需求。     

基于新型靶的CCD摄像系统畸变测量与校正

深入研究了测试图案对测量畸变的影响。提出"一靶测试法"进行畸变测量与校正,拍摄了自行设计、制作的"综合点阵靶板"的畸变图像,图像处理得到其畸变点位置,并与理想点位置进行对应比较。建立多项式模型确定畸变点与理想点的位置校正关系,理想点位置由理想成像得到,并运用最小二乘拟合算法求得多项式系数,标定整个CCD摄像系统的畸变。"综合点阵靶板"采用灰色圆点黑色间带图案,方便了点按序标记排列,从而确定畸变点与理想点的一一对应。对2.6 mm焦距的广角CCD镜头摄像系统进行了畸变测量与校正,其重复测量,校正精度达到0.3%。