EVM

particle filter for tracking visual target using Matlab ,enjoy it!

In this paper, we show how support vector machine (SVM) can be employed as a powerful tool for $k$-nearest neighbor (kNN) classifier. A novel multi-class dimensionality reduction approach, Discriminant Analysis via Support Vectors (SVDA), is introduced by using the SVM. The kernel mapping idea is used to derive the non-linear version, Kernel Discriminant via Support Vectors (SVKD). In SVDA, only support vectors are involved to obtain the transformation matrix. Thus, the computational complexity can be greatly reduced for kernel based feature extraction. Experiments carried out on several standard databases show a clear improvement on LDA-based recognition

研究高超声速飞行器在纵向的运动情况，对系统的速度和飞行高度进行仿真分析，我们将对在不同的 、 值的条件下分析出系统的最优性能(The longitudinal motion of the hypersonic vehicle is studied, and the system speed and flight height are simulated. We will analyze the optimal performance of the system under different conditions and values.)

分数阶混沌系统的Lyapunov指数,有利用分数及的计算(fractional chaotic newsysytems Lyapunov)

一个关于线程池的小demo，windows环境下，可以直接运行。( A little on the thread pool demo, windows environment, can be directly run.)

一个demo 讲述掌上厨房的demo 应用Xcode(A demo about Palm kitchen demo application Xcode)

Optimizing Time-Domain Response of Simulink(R) Models Using Parallel Computing

matlab program to practice

求解三体问题，并画动态图像。同时含有解释三体问题的pdf文件(Solving the three-body problem, and draw a dynamic image. Also contains a pdf file explaining the three-body problem)

）网络是一种重要的神经网络，RBF网络的训练分为两步，第一步是通过聚类算法得到初始的权值，第二步是根据训练数据训练网络的权值。() Network is an important neural network, RBF network training is divided into two steps, the first step is the initial weights clustering algorithm, the second step is based on the training data to train the network weights.)