IMMPDA

说明：  这篇论文研究的是结合了Small Cell, Massive MIMO和Full-duplex这三种5G关键技术的二层异构网络场景，为了消除干扰使得网络总吞吐量达到最大，提出了三种算法。(Small Cell, Massive MIMO and Full-duplex)

说明：  质心定位算法实现精度要求低的简单定位，加权质心定位比质心定位定位精度更高一些。(Centroid localization algorithm achieves simple positioning with low accuracy requirement, and weighted centroid localization is more accurate than centroid localization.)

这个程序是雷达信号处理中的恒虚警检测算法，使用matalab语言编写，运行即可使用。(This program is constant false alarm detection in radar signal processing algorithm, using matalab language, running can be used.)

说明：  用于abaqus里形状记忆合金材性模拟的子程序umat文件(an umat file used to simulate SMA in ABAQUS)

说明：  利用MATLAB实现平行泊车过程演示，实现泊车动画演示。(MATLAB parallel parking process demonstration.)

用牛顿-拉夫逊法进行电力系统潮流分布计算(Calculation of Power Flow Distribution in Power System by Newton-Raphson Method)

说明：  关于3维应力应变的金属本构方程子程序代码显式vumat(On the Subprogram Code of 3-D Stress-Strain Constitutive Equation of Metals Explicit VUMA)

说明：  利用BP神经网络实现对民族，古筝，摇滚，流行四类音乐的有效分类。matlab实现，提供数据和详细代码，有解释！(The BP neural network is used to realize the effective classification of four kinds of music: nationality, zither, rock and roll, and popular music. Matlab implementation, provide data and detailed code, there are explanations!)

说明：  matlab对sar_adc相关数据的建模(Matlab for SAR_ Modeling of ADC related data)

说明：  中国电子科技集团公司认知与智能技术重点实验室发布的MaCA（Multi-agent Combat Arena）环境，是国内首个可模拟军事作战的轻量级多智能体对抗与训练平台，是多智能体对抗算法研究、训练、测试和评估的绝佳环境，可支持作战场景和规模自定义，智能体数量和种类自定义，智能体特征和属性自定义，支持智能体行为回报规则和回报值自定义等。(MaCA (multi agent combat) issued by the Key Laboratory of cognitive and intelligent technology of China Electronic Technology Corporation Arena) environment is the first lightweight multi-agent confrontation and training platform that can simulate military operations in China. It is an excellent environment for the research, training, testing and evaluation of multi-agent confrontation algorithms. It can support the customization of battle scenarios and scales, the number and types of agents, the characteristics and attributes of agents, and the behavior return rules and values of agents And so on.)