frame_difference

communication system simulation in matlab

机器人轨迹规划：将手部运动轨迹换算成关节空间；对关节空间进行插值(Robot trajectory planning: the trajectory of the hand is converted into the joint space joint space interpolation )

有关Simulink的通信仿真书，里面描述的很详细！(about at Simulink on communiction book.)

一个不错的matlab工程实际问题的解决方法，包括撰写MATLAB程式 ，以多组数据测试MATLAB解等(a good Matlab works the solution of practical problems, including writing MATLAB programs, with a group of data test solutions, such as MATLAB)

由磁悬浮小球的状态空间模型计算出其鲁棒控制器，并在simulink模型中对鲁棒控制器的性能进行了验证。(Magnetic levitation ball from the state-space model to calculate the robust controller and in simulink model for robust controller performance is verified.)

matlab下的图像模板匹配算法源码，希望对大家有所帮助(matlab image under the template matching algorithm source code, I hope all of you to help)

it is PDF for How to write the right JML for our code.. Very Helpful for new users

QPSK的基本结构原理与噪声下的SNR,这是最基本的方式(qpsk，basic construction and noise)

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)

matlab图像分割实例，K均值用于图像分割，割调用库函数实现，带注释，简单易懂(matlab image segmentation examples, K means for image segmentation, cutting calls library functions, with comments, easy to understand)