Translation Surfaces with Zero Mean Curvature in （2+p）-Dimensional Pseudo-Euclidean Space E22+p or Ep2+p

Let Ep^2＋p（resp.E2^2＋p） be a （2＋p）-dimensional pseudo-Euclidean space with the index p （resp.2）. The maximal spacelike or minimal timelike translation surfaces M^2 in Ep^2＋p or E2^2＋p are considered and a complete classification is given.     

Iterated discriminants

It is shown that the discriminant of the discriminant of a multivariate polynomial has the same irreducible factors as the product of seven polynomials each of which is defined as the GCD of the generators of an elimination ideal. Under relatively mild conditions of genericity, three of these polynomials are irreducible and generate the corresponding elimination ideals, while the other four are equal to one. Moreover the irreducible factors of two of these polynomials have multiplicity at least two in the iterated discriminant and the irreducible factors of two others of the seven polynomials have multiplicity at least three.     

四维空间相贯形可见性问题的研究

对超曲面与超曲面相贯及其相贯形的正投影可见性问题的研究,可使四维空间中超曲面与超曲面相贯的各元素相对位置得以清晰、直观地表达。本文采取“同一法”及第二类重影点对相贯形进行可见性处理,并用计算机方法进行消隐处理。用BASIC语言编制了相贯形消隐的通用程序,在APPLE-I机和DXY-800绘图机上实现。     

基于星凸形随机超曲面模型多扩展目标多伯努利滤波器

针对复杂不确定性环境下具有不规则形状的多扩展目标跟踪问题, 提出了一种基于星凸形随机超曲面模型(Star-convex RHM)的多扩展目标多伯努利滤波算法.首先, 在有限集统计(Finite set statistics, FISST)理论框架下, 采用多伯努利随机有限集(MBer-RFS)和泊松RFS (Possion-RFS)分别描述多扩展目标的状态和观测, 并给出扩展目标势均衡多目标多伯努利(ET-CBMeMBer)滤波器.其次, 利用RHM去描述任意星凸形扩展目标的量测源分布, 提出了容积卡尔曼高斯混合星凸形多扩展目标多伯努利滤波器.此外, 本文给出了一种多扩展目标不规则形状估计性能的评价指标.最后, 通过多扩展目标和具有形状突变的多群目标的跟踪仿真实验验证了本文方法的有效性.     

基于星凸随机超曲面的扩展目标伽马高斯混合势概率假设密度滤波器

针对杂波和检测不确定情况下扩展目标形状估计精度低的问题,提出了一种基于星凸随机超曲面模型(SRHM)的扩展目标伽马高斯混合势概率假设密度(CPHD)滤波器.该算法在高斯混合概率假设密度滤波的框架下,首先将目标形状建模为星凸随机超曲面,然后通过CPHD滤波估计出目标的质心位置和目标数目,最后通过将已估计的目标质心位置作为目标形状的中心点来结合量测对目标形状进行估计.其中,算法通过自适应估计尺度变换因子对形状边界进行约束优化,解决了星凸随机超曲面模型存在的边界形状不规则的问题.设计扩展目标个数未知以及含有杂波的实验场景,实验结果验证了该算法的有效性和可行性.     

关于齐次多项式分解的一个注记

针对多元多项式因式分解困难问题,给出了齐次多项式分解的一个原理,并利用此原理和Maple软件实现了齐次多项式的高效率分解.     

基于星-凸形随机超曲面模型的扩展目标GM-PHD滤波器

针对扩展目标联合估计运动状态和目标外形的问题,提出一种基于星-凸形随机超曲面模型的扩展目标高斯混合概率密度滤波算法.该算法利用星-凸随机超曲面模型对量测的扩散程度进行建模,在高斯混合概率假设密度的框架下,通过求解、更新递推量测模型下的量测似然、新息等参数来实现对扩展目标的跟踪.仿真实验表明,该算法在保证跟踪有效性和可行性的同时,提高了对扩展目标运动状态和目标外形的估计精度.     

一种实现中红外非对称传输的手征超表面设计

为了研究手征超表面在中红外波段的非对称传输特性,设计了一种基于L型结构的手征超表面单元.利用CST电磁软件进行仿真分析,结果表明在68.92～88.68 THz范围内非对称传输参数大于0.8,在73.25 THz处非对称传输参数达到极值为0.88,由此可知该结构在中红外波段具有良好的非对称传输特性;通过分析表面电流分布...     

Rank and eigenvalues of a supersymmetric tensor, the multivariate homogeneous polynomial and the algebraic hypersurface it defines

A real n-dimensional homogeneous polynomial f(x) of degree m and a real constant c define an algebraic hypersurface S whose points satisfy f(x)=c. The polynomial f can be represented by Ax^m where A is a real mth order n-dimensional supersymmetric tensor. In this paper, we define rank, base index and eigenvalues for the polynomial f, the hypersurface S and the tensor A. The rank is a nonnegative integer r less than or equal to n. When r is less than n, A is singular, f can be converted into a homogeneous polynomial with r variables by an orthogonal transformation, and S is a cylinder hypersurface whose base is r-dimensional. The eigenvalues of f, A and S always exist. The eigenvectors associated with the zero eigenvalue are either recession vectors or degeneracy vectors of positive degree, or their sums. When c⁄=0, the eigenvalues with the same sign as c and their eigenvectors correspond to the characterization points of S, while a degeneracy vector generates an asymptotic ray for the base of S or its conjugate hypersurface. The base index is a nonnegative integer d less than m. If d=k, then there are nonzero degeneracy vectors of degree k−1, but no nonzero degeneracy vectors of degree k. A linear combination of a degeneracy vector of degree k and a degeneracy vector of degree j is a degeneracy vector of degree k+j−m if k+j≥m. Based upon these properties, we classify such algebraic hypersurfaces in the nonsingular case into ten classes.     

H~(n 1)(-1)中的常平均曲率超曲面

本文讨论了伪球面H~(n p)(—Ⅰ)中具有常平均曲率超曲面为全脐超曲面的条件。