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MATLAB实用程序100例子仿真,同学们可以先看看，希望有所帮助( MATLAB emluator100 of example)

说明：  利用 MATLAB 设计经典的雷达数字信号处理。该系统具备对雷达目标回波的处理能力，能够从噪声中将目标检测出来，并提取目标的距离、速度、角度信息。教程分五节完成，主要包括： 第一节，雷达 LFM 信号分析； 第二节，脉冲压缩处理； 第三节，相参积累处理； 第四节，恒虚警 CFAR 处理； 第五节，目标信息提取处理。(Using MATLAB to design the classic radar digital signal processing. The system has the ability to process the radar echo, detect the target from the noise, and extract the range, speed and angle information of the target)

一个二维的FDTD程序 本程序实现2维TM波FDTD仿真 此程序用PML设置吸收边界条件 FDTD_2D_kongqi_PML 仅含有Ez,Hx,Hy分量 (A two-dimensional FDTD program program realization of the wave 2-D TM FDTD simulation this program set with the PML absorbing boundary condition FDTD_2D_kongqi_PML contain only Ez, Hx, Hy component)

利用matlab，编写程序，设计了卡尔曼滤波算法，对惯性器件的初始校准进行仿真(Matlab, programming, design of the Kalman filter algorithm, the initial calibration of the inertial sensors simulation)

Tradeoff Analysis of Delay-Power-CSIT Quality of Dynamic BackPressure Algorithm for Energy Efficient OFDM Systems

摘要地层控制分析与设计问题 无人机（UAV）群系统实现时间。 研究了不同的地层。达到预定时间- 无人机的编队、编队协议各不相同。 首先是群系统，无人机的速度可能不同 当到达编队时。然后，基于共识的方法 用于处理时变信息的形成控制 无人机群系统的问题。必要和充分 无人机群系统实现时变的条件 提出了构造方案。(Abstract-formation control analysis and design problems for unmanned aerial vehicle (UAV) swarm systems to achieve time. varying formations are investigated. To achieve predefined time- varying formations, formation protocols are presented for UAV swarm systems first, where the velocities of UAVS can be different when achieving formations. Then, consensus-based approaches are applied to deal with the time-varyin formation control problems for UAV swarm systems. Necessary and sufficient conditions for UAV swarm systems to achieve time-varying formations are proposed.)

模拟人的步行，是一个很好的模拟程序！！！( WALKER Human gait. This model, developed by Nikolaus Troje, is a five-term Fourier series with vector-valued coefficients that are the principal components for data obtained in motion capture experiments involving subjects wearing reflective markers walking on a treadmill. The components, which are also known as "postures" or "eigenwalkers", correspond to the static position, forward motion, sideways sway, and two hopping/bouncing movements that differ in the phase relationship between the upper and lower portions of the body. The postures are also classified by gender. Sliders allow you to vary the amount that each component contributes to the overall motion. A slider setting greater than 1.0 overemphasizes the characteristic. Can you see whether positive values of the gender coefficient correspond to male or female subjects?)

msk的调制与解调 是本人自己作品 有不到之处 还请多多指教(failed to translate)

链路预测的matlab实验源代码，通过这些源代码可以得出链路预测的基本实验效果(Link prediction matlab experiment source code, the source code can be obtained through these basic experimental results link prediction)