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目标跟踪，本文围绕人运动的视觉分析中的重要课题——基于模型的行人跟踪——展开研究,它不仅涉及底层视觉的许多问题,还是高层视觉处理的基础。基于模型的跟踪是解决行人跟踪问题的一般性框架。(A Method of Passing People Tracking and Counting Based on Real- Time Image- Sequence )

闭包传递法的一个函数以及一个求最大生成树的函数,用于模糊聚类分析(matlab)(Closure of the transfer method for a function and a function of the maximum spanning tree for the fuzzy cluster analysis (matlab))

Least square error estimation for three degree of freedom

Advances in data collection and storage capabilities during the past decades have led to an information overload in most sciences. Researchers working in domains as diverse as engineering, astronomy, biology, remote sensing, economics, and consumer transactions, face larger and larger observations and simulations on a daily basis. Such datasets, in contrast with smaller, more traditional datasets that have been studied extensively in the past, present new challenges in data analysis. Traditional statistical methods break down partly because of the increase in the number of observations, but mostly because of the increase in the number of variables associated with each observation. The dimension of the data is the number of variables that are measured on each observation.

Efficient signal processing techniques are necessary for assessing the exposure to broadband magnetic fields. The use of flat-top windows along with the DFT is a simple and fast method that reduces the characteristic leakage errors and picket fence effects when using the classical DFT for the exposure assessment.

ARIMA模型，用来对非平稳信号的功率谱估计，很有用！(ARIMA model, used for non-stationary signals in power spectrum estimation, very useful!)

velocity field using weather code

Classify using the local boosting algorithm

说明：  mimo工具箱 多输入多输出天线功能函数箱 可以提供信道仿真(The MIMO Toolbox is a collection of Matlab functions and a GUI. Its purpose is to complement the Control Toolbox for Matlab with functions capable of handling the multivariable input-output scheme.The MIMO Toolbox was developed for Matlab 7. )

使用模糊系统方法来实现二维函数的逼近，效果很好，matlab编程仿真(fuzzy systems use methods to achieve the two-dimensional function approximation and the results very good, Matlab Simulation Programming)