preisach

mathematica中的构造基本向量和矩阵构造方法，方便初学者学习(the method of the constitution of basic matrix and calculous in mathematica,so easy for the starting student)

Color constancy for TIP 2007

F16飞机的动态仿真。使用MATLAB和C++混合编程。(F16 aircraft dynamic simulation. The use of MATLAB and C++ mixed programming.)

frequency estimation using TLS ESPRIT

labview与matlab的混合编程，主要内容为labview和mathscrip与matlab的混合编程技术(LabVIEW and Matlab mixed programming , the main contents of of LabVIEW and mathscrip matlab mixed programming techniques)

NP是美国匹兹堡大学的T.L.Saaty 教授于1996年提出了一种适应非独立的递阶层次结构的决策方法，它是在网络分析法（AHP）基础上发展而形成的一种新的实用决策方法。其关键步骤有以下几个： 1 确定因素，并建立网络层和控制层模型。 2 创建比较矩阵。 3 按照指标类型针对每列进行规范化。 4 求出每个比较矩阵的最大特征值和对应的特征向量。 5 一致性检验。如果不满足，则调整相应的比较矩阵中的元素。 6 将各个特征向量单位化(归一化)，组成判断矩阵。 7 将控制层的判断矩阵和网络层的判断矩阵相乘，得到加权超矩阵。 8 将加权超矩阵单位化(归一化)，求其K次幂收敛时的矩阵。其中第j列就是网络层中各元素对于元素j的极限排序向量。 (NP is a professor at the University of Pittsburgh TLSaaty presented in 1996, an adaptation of non-independent Hierarchy of decision-making method, which is the analytic network process (AHP) formed on the basis of the development of a new and practical decision-making method . The key steps are the following: A determining factor, and a network layer and control layer model. 2 create a comparison matrix. For each of the three types of indicators in accordance with normalized columns. 4 find the maximum for each comparison matrix eigenvalue and the corresponding eigenvectors. 5 consistency test. If not satisfied, then the comparison to adjust the corresponding matrix elements. 6 will each feature vector units of (normalized), to determine the composition of matrix. 7 to determine the control layer and network layer to determine matrix matrix multiplication, to be weighted super-matrix. 8 of the weighted super-matrix units of (normalized), seeking the powe)

本文 重 点 研究单目标跟踪中的三方面主要内容:一、非线性滤波 二、目标运动建模 三、各种探测条件下目标跟踪仿真实验。(This paper focuses on single target tracking in three areas: a nonlinear filtering , target motion modeling Third, a variety of detection under the conditions of the target tracking simulation experiments. )

matlab 求解不可压库埃特流 计算流体力学基础及应用第九章，隐式crank-nicolson 求解(Incompressible Couette flow matlab solving basic and applied computational fluid dynamics Chapter IX, implicit crank-nicolson solving)

SVSLMS算法的参数设定值不同时的比较SVSLMS算法的参数设定值不同时的比较(SVSLMS algorithm parameter settings are not at the same time comparison SVSLMS algorithm parameter settings comparison of different time)

Toeplitz 修正处理的music算法。可以提高低信噪比和低采样率下的分辨率。(Toeplitz correction algorithm processing of music. Can improve the signal to noise ratio and low resolution low sampling rates.)