apf_p_q_3p_3l

pid控制程序，基于matlab环境开发，开自行修改(matlab)

利用MATLAB7.0进行仿真《模式识别》中的线性判别分类，案例(MATLAB7.0 use simulation " pattern recognition" in the linear discriminant classification, case)

说明：  MATLAB遗传算法几个实例,主要是遗传算法工具箱的应用(some examples of matlab)

说明：  支节调配器法的软件实现（微波技术与天线）(Support section of the deployment of browser software law)

wigner_ville分布的计算分析和理解产生仿真图可以好好的学习(wigner_ville distributed computational analysis and understanding of the simulation diagram can produce proper study)

基于最小二乘支持向量机的短期电力负荷预测GUI界面设计，可以参考学习(the Forecasting of Short-term Power Load of GUI design.)

说明：  基于matlab的课程设计，功能是实现AM信号的解调，运用了两种方法实现。(Matlab-based curriculum design, function is to achieve the AM signal demodulation, the use of two methods to achieve.)

灰色预测 可以在数学建模中使用 可以运行。 (Grey prediction)

Matlab moore Reverb. algorithm

Tracking of visual phenomena is hard. Very, very hard. And frustrating. You should try not to get discouraged by poor tracking results, but rather concentrate on the specific reasons why your tracker may not be performing well. Is the bad performance predictable from the theoretical properties of the tracker? If so, that s a valuable observation that will serve you well in the future