CCITT-X733

基于遗传算法的双阈值图像分割，是用KSW方法。(Genetic Algorithm Based on dual-threshold image segmentation, is a method of KSW.)

脚部zupt算法计算航向代码，matlab实现，运行通过。(Foot ZUPT algorithm to calculate the course code, matlab implementation, running through.)

电动汽车是智能电网的一个重要组成部分，能很好的解决能源紧缺，环境污染等问题。无线充电技术更有利于电动汽车与电网进行互动，更好的发挥动汽车削峰填谷、消纳可再生能源的功能。本文在研究中国电动汽车发展相关政策的基础上，，(Electric vehicle is an important part of smart grid. It can solve the problems of energy shortage and environmental pollution. Wireless charging technology is more conducive to the interaction between electric vehicles and the power grid, so that we can better play the function of cutting the peak and filling the valley, and reusing renewable energy. In this paper, based on the related policies of the development of electric vehicles in China, combined with the characteristics of the electric vehicle wireless charging, based on the statistical data, the first trip mileage of the private electric vehicle is extracted by Monte Carlo method, and the starting charge state of the electric vehicle charging is obtained according to the battery charging characteristics and the vehicle driving habit, and the charging state of the electric)

说明：  用遗传算法和模拟退火算法解决旅行商方面的问题(The genetic algorithm and simulated annealing algorithm to solve traveling salesman problems)

几个指向性的程序源码，包含线阵，，面阵与带加权的阵型 (Several directional program source code contains a linear array, planar array with weighted formation)

统计决策建立在统计分析和统计预测的基础上，是一种定量决策 。统计决策是在不确定情况下，应用概率来进行决策的计算和分析，是一种概率决策。 (Statistical decision based on statistical analysis and statistical prediction, based on a quantitative decision-making. Statistical decisions under uncertainty, applied probability calculations and analysis for decision-making, is a probabilistic decision.)

3维奇异吸引子的生成程序,3维奇异吸引子的生成程序(stranger attractor)

This article focuses dc motor control and simulaion in Matlap Simulink SimPower and establish the continuity of human motion in each image frame

说明：  使用PSO优化SVR支持向量机模型的代码，有详细的输出及输出，以及代码说明(Use PSO to optimize SVR support vector machine model code, with detailed output and output, as well as code description)

Motion Tracking =============== This tarball contains all code required to run the tracking algorithm on a sequence of images. Run the file run_tracker.m in Matlab and follow the instructions. You will need to have a directory of sequentially numbered images available. After entering the path and file types the tracker will begin processing. Once the data window appears the algorithm begins building a background model and attempts to track objects. By clicking on any of the four subwindows you can investigate the background representation (a Mixture of Gaussians) of any pixel. The two windows that then appear display the mixture once as a two-dimensional scatter plot (ignoring the blue colour component), and once as a one-dimensional evolution of the red colour component only. These plots make the internal processing visible and should help determining suitable parameters to be set in mixture_parameters.m.