singermodel

对电力系统谐波进行了分析和仿真.仿真效果好,可以直接使用(The power system harmonics analysis and simulation. Simulation results, and can be used directly)

总图专业平面布置优化程序 输入数据物流流进厂房标号 物流关系数 物流关系标号 物流强度 根据matlab双目标优化算法计算最优平面布置方案(The total figure of professional input data layout optimization program logistics logistics flows into the plant label relationship between the number of logistics logistics strength label matlab dual-objective optimization algorithm based on calculating the optimal layout of the program)

在matlab里搭建了一个起重机的仿真模型。模型很好滴仿真了实际系统(Built in the matlab simulation model of a crane.Good drop simulation actual system model)

拉格朗日插值法和牛顿插值法，matlab软件编程，.m文件(Lagrange interpolation and Newton interpolation, MATLAB software programming,.M file)

matlab下神经网络工具箱的开发和应用 很有参考价值(matlab neural network toolbox of the development and application of valuable)

本程序已被本人整理到WORD文档中，编程语言为MATLAB，本文设计的滤波器采用傅里叶级数展开法。模拟的杂波的功率谱密度采用BVURG法，概率密度函数的估计采用直方图估计法，设计参数皆在文档中表明。此程序已经验证是正确可执行的，并能生成图形，值得下载！(This program has been organized into WORD document I, the programming language MATLAB, the filter designed in this paper Fourier series expansion method. Simulated clutter power spectral density using BVURG method, the probability density function is estimated using histogram estimation methods, design parameters are indicated in the document. This procedure has been verified is correct executable, and can generate the graph, it is worth to download!)

基于matlab的ofdm系统仿真，通过仿真实现了ls 和LMMSE准则的信道估计，并仿真比较了两种方法的性能(Matlab ofdm systems based on the simulation, the simulation criteria to achieve the ls and LMMSE channel estimation, and simulation performance of the two methods compared)

DOUBLE OPTIMIZATION DESCRIPCTION

用于检测SDT和恢复SDT的例子代码，可用于ARK中的系统钩子扫描(Example of code that can be used for detection to SDT and recovery of SDT ARK system hook scan)

These codes generate simulation results depicted in the paper titled J. Chen, H. Yin, L. Cottatellucci, and D. Gesbert, "Dual-regularized Feedback and Precoding for D2D Assisted MIMO Systems", IEEE Trans. Wireless Commun., 2017. Author: Junting CHEN Email: juntingc@usc.edu Date: May 20, 2016