Infrared super-resolution imaging based on compressed sensing

The theoretical basis of traditional infrared super-resolution imaging method is Nyquist sampling theorem. The reconstruction premise is that the relative positions of the infrared objects in the low-resolution image sequences should keep fixed and the image restoration means is the inverse operation of ill-posed issues without fixed rules. The super-resolution reconstruction ability of the infrared image, algorithm’s application area and stability of reconstruction algorithm are limited. To this end, we proposed super-resolution reconstruction method based on compressed sensing in this paper. In the method, we selected Toeplitz matrix as the measurement matrix and realized it by phase mask method. We researched complementary matching pursuit algorithm and selected it as the recovery algorithm. In order to adapt to the moving target and decrease imaging time, we take use of area infrared focal plane array to acquire multiple measurements at one time. Theoretically, the method breaks though Nyquist sampling theorem and can greatly improve the spatial resolution of the infrared image. The last image contrast and experiment data indicate that our method is effective in improving resolution of infrared images and is superior than some traditional super-resolution imaging method. The compressed sensing super-resolution method is expected to have a wide application prospect.     

Complementary cycles in regular multipartite tournaments, where one cycle has length five

The vertex set of a digraph D is denoted by V(D). A c-partite tournament is an orientation of a complete c-partite graph.In 1999, Yeo conjectured that each regular c-partite tournament D with c≥4 and |V(D)|≥10 contains a pair of vertex disjoint directed cycles of lengths 5 and |V(D)|−5. In this paper we shall confirm this conjecture using a computer program for some cases.     

限制性卖空的均值-方差投资组合优化

本文提出了限制性卖空的均值-方差投资组合模型,通过变量替换将该模型转变为一般二次规划问题,从而运用不等式组的旋转算法进行求解.文章还以一个具体例子验证该算法的有效性,并证明在一定变化范围内,借入资产的资金与总资金的比例越大越有助于拓展投资机会空间.     

Linear fractional programming and duality

This paper presents a dual of a general linear fractional functionals programming problem. Dual is shown to be a linear programming problem. Along with other duality theorems, complementary slackness theorem is also proved. A simple numerical example illustrates the result.     

模糊互补判断矩阵的一种一致性调整方法及其收敛性

首先对一个常用的检验互补判断矩阵一致性标准作了简化,对任一模糊互补矩阵构造相应的模糊一致矩阵,在此基础上给出了一种一致性调整的新方法,并证明了此方法的收敛性。最后用一个算例说明这种调整方法的应用。     

A unified approach to one-parametric general quadratic programming

A method is proposed for finding local minima to the parametric general quadratic programming problem where all the coefficients are linear or polynomial functions of a scalar parameter. The local minimum vector and the local minimum value are determined explicitly as rational functions of the parameter. A numerical example is given.     

喷墨打印墨水的色度学分析

通过对Canon ,EPSON ,HP ,LEXMARK四个著名品牌打印机原装彩色三原色墨水的光谱透射率测定及色度学分析 ,得到每一颜色的三刺激值、色度坐标 ,比较了这四个品牌墨水的三原色拼色的色域大小、彩度值、色相的主波长及补色波长。提出了三原色补色波长之间关系的一个经验公式 :λcompl,M 10 / 9(λcompl,Y) 10 ,及λcompl,M 9/ 10 (λcompl,C) - 2 0 ,发现这四个品牌墨水的三原色的补色波长与此公式有较好的适应性。     

三角模糊数判断矩阵理论及排序方法研究

由于三角模糊数运算的复杂性和特殊性,许多经典判断矩阵的理论并非完全适用于三角模糊数判断矩阵.首先指出目前文献中三角模糊数判断矩阵排序向量研究中存在的问题,并对经典判断矩阵的理论和性质在三角模糊数中是否完全适用进行了证明,然后基于已经证明在三角模糊数判断矩阵所适用的性质,分别建立了最小二乘法的三角模糊数互反互补判断矩阵目标优化模型,通过求解其模型可得到矩阵的权重向量,最后利用已有的三角模糊数排序公式求得决策结果.算例分析验证了该方法的正确性和有效性.     

基于一致性逼近的三角模糊数互补判断矩阵的排序方法

研究了元素为三角模糊数形式的互补判断矩阵的一致性和排序问题.分析了三角模糊数互补判断矩阵和三角模糊数互反判断矩阵之间的相互转换关系,提出了这两类判断矩阵完全一致性的概念并得到了三角模糊数互补判断矩阵的元素和排序权值之间的关系,在此基础上建立了一个多目标优化模型,通过求解该模型得到三角模糊数互补判断矩阵的排序向量,利用已有的模糊数比较大小公式得到方案的排序,最后给出了一个算例.