dijkstra_pt

说明：  EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。 (EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy.)

寻找积分投影直方图的谷集并标识出来，matlab实现并有详细说明。(Find integral projection histogram Valley set and marked, matlab and a detailed description of the achievement.)

matlab软件的使用方法，很好，很清晰。。。(Matlab about software to use, very good, very clear. . .)

关于短路计算的一些源程序同时是有关matlab优化的源程序(Short-circuit calculations on some of the matlab source code is also optimized source)

自己关于TVL1方法的改进 用来去除人脸上面的光照得到人脸的纹理图像，对于光照下人脸识别有相当大的作用。也可以用来定位(Their own methods to improve on TVL1 people face to face to remove the light to be Face of texture images, for face recognition under illumination a significant role. Can also be used to position)

diabetic ptients retinal vascular structure extraction in mat lab

是一篇论文，关于模糊控制的MATLAB仿真过程。有很好的参考价值(Is a thesis on fuzzy control of MATLAB simulation. Have a good reference value)

This is the simulation of Pulse Wave Doppler(PWD) effect used in ultrasonic wave. I m a student of HY University and I m not good at programming, but I want to be a nice programmer :D

遗传算法对约束优化问题的研究综述，主要是综述约束问题。(Genetic algorithm for constrained optimization problem in this paper, research is mainly summarized constraint problems. )

最大流问题，一种组合最优化问题，就是要讨论如何充分利用装置的能力，使得运输的流量最大，以取得最好的效果。求最大流的标号算法最早由福特和福克逊于1956年提出，20世纪50年代福特、福克逊建立的“网络流理论”，是网络应用的重要组成成分。(Maximum flow problem, a combinatorial optimization problem, is to discuss how to make full use of the capacity of the device to maximize the flow of transport in order to achieve the best results. The labeling algorithm for maximum flow was first proposed by Ford and Fulkerson in 1956. The network flow theory established by Ford and Fulkerson in 1950s is an important component of network application.)