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说明：  匈牙利法与最佳匹配分配问题 matlab实现(Hungary and France and to achieve the best matching distribution matlab)

Test Template Class Source Code for Andriod.

This is a multi-level voltage svpwm space vector control algorithm for motor controlThis is a multi-level voltage svpwm space vector control algorithm for motor controlThis is a multi-level voltage svpwm space vector control algorithm for motor control

这是一个脑电信号分析的matlab工具箱软件EEGLAB的中文操作手册，或许给英文不太好的同学们带来便利，希望对大家有用！(This is an EEG analysis matlab toolbox software EEGLAB of Chinese operating manual, maybe English is not good for the students to bring convenience, we want to be useful!)

学习matlab的基础入门课程，教材实例多，易学易懂(The learning matlab introductory courses in many instances materials, easy to understand)

运用matlab编程实现ARX模型中的参数确定(ARX model)

使用matlab工具生成BPSK信号。模拟GPS中L1信号。(Use matlab tool to generate BPSK signal. Simulate the GPS L1 signal.)

对信号进行时域特征提取，个人已使用，感觉很不错！(The time domain feature extraction of the signal, the individual has been used, I feel very good!)

机动目标的跟踪问题一直是人们研究的重点，实现机动目标精确跟踪，首要解决的问题就是使所建立的目标运动模型与实际的目标运动模型匹配。目前常用的有多模型(MM)，交互式多模型(IMM)，切换模型等。多模型方法就是对一组具有不同机动模型分别进行Kalman滤波，最终的参数估计是各滤波器估计值的加权和；在多模型基础上，Shalom提出了交互式多模型方法，这一方法对无序目标的机动检测，显示了更好的鲁棒性和跟踪的稳定性；切换模型则是分别建立机动和非机动运动模型，利用机动检测实现在这两个模型之间的切换。一般来说，交互式多模型的跟踪性能较好。(mobile target tracking problem has been a focus of research and achieve precise maneuvering target tracking, the most pressing issue is to enable the establishment of the target model and the actual movement of the target model matching. At present, more commonly used model (MM), interactive multi-model (IMM), switching model. Multi-model approach is a group of different mobile models were Kalman filtering, The final parameter is the estimated value of the filter is estimated weighted; in the multi-model basis, Shalom made the interactive multi-model approach that the objectives of the motor disorder detection, better show the robustness and stability of the track; switching model is set up motorized and non-motorized sports model, the use of mobile testing to achieve in this model between)

调用MATLAB命令conv()函数，编写连续信号卷积和的通用程序sconv( )(Call the MATLAB command conv () function, the preparation of continuous signal convolution, and the general program sconv ())