enhancement

receiving antenna the scattering algorithm

台湾大学的使用SVM方法进行线性回归、分类的MATLAB程序(National Taiwan University, the use of SVM method of linear regression, classification procedures of the MATLAB)

mfile investigates the generation, transmission and reception of the OFDM signal without channel noise or HPA effect

粒子群算法OptSwarm记录每个粒子的历史最优解（粒子历史最好的适应度）以及全部粒子搜索到的全局最优解。用Wg代表全局最优解，W.,1代表每个粒子的历史最优解。粒子群初始化阶段表OptSwarm的前N行与表ParSwarm中的相同，而Wg的值为表ParSwarm中适应度值的最大值对应的行。(Particle swarm algorithm OptSwarm record the history of each particle the optimal solution (particles history best fitness), and all the particles of the search to the global optimal solution. Use Wg represents the global optimal solution, w., 1 representative of each particle history to the solution. Particle swarm initial stage OptSwarm table before the line and the table ParSwarm N is same, and the value of the ParSwarm Wg for tables in the maximum fitness value corresponding line. )

对二阶系统进行辨识。。。采用曲线拟合法对二阶系统进行辨识。。。采用曲线拟合法对二阶系统进行辨识。。。采用曲线拟合法对二阶系统进行辨识。。。采用曲线拟合法(Second-order system identification. . . Using curve fittingSecond-order system identification. . . Using curve fittingSecond-order system identification. . . Using curve fittingSecond-order system identification. . . Using curve fitting)

彩色图像纹理和色彩特征提取，并用fcm进行分割(Color image texture and color feature extraction, and split with fcm)

说明：  蚁群算法的基本程序，适合入门学习用，注释比较完整(it about ant algrthom)

Three dimensional hydrogen atom spherical harmonics visualization.

信号测量矩阵，如何选取测量矩阵！！！！！！！！！！！(Signal measurement matrix)

目标跟踪问题的应用背景是雷达数据处理，即雷达在搜索到目标并记录目标的位置数据, 对测量到的目标位置数据（称为点迹）进行处理，自动形成航迹，并对目标在下一时刻的位置进行预测。 下文简要讨论了用Kalman滤波方法对单个目标航迹进行预测，并借助于Matlab仿真工具，对实验的效果进行评估。 里面包括三个源程序，和一份实验报告，里面有算法的详细分析和情景假设。(Application of target tracking radar data processing background, that is the search radar to the target and record the location of the object data to the target location of the measurement data (referred to as Plot) for processing, automatic track formation, and the target in the next time to predict the location. Briefly discussed below, using Kalman filtering to predict a single target track, and the help of Matlab simulation tools, experimental results for evaluation. Which consists of three source code, and a test report, which has a detailed analysis of the algorithm and the scenario assumptions.)