mcrng[1].tar

最好邻居选择策略来改善移动自组织网络中自私节点的合作行为，通过matlab做的仿真实验。(Best neighbor strategy to enforce cooperation among selfish nodes in wireless ad hoc network)

用MATLAB实现OFDM的系统仿真程序(about ofdm matlab simulator)

Trigonometric functions using MATLAB to achieve power spectral analysis

The demand of high data rate services has been increasing very rapidly and there is no slowdown in sight. We know that the data transmission includes both wired and wireless medium. Often, these services require very reliable data transmission over very harsh environment. Most of these transmission systems experience much degradation such as large attenuation, noise, multipath, interference, time variance, nonlinearities and must meet the finite constraints like power limitation and cost factor. One physical layer technique that has gained a lot of popularities due to its robustness in dealing with these impairments is multi-carrier modulation technique. In multi-carrier modulation, the most commonly used technique is Orthogonal Frequency Division Multiplexing (OFDM)

说明：  基于matlab平台实现机器人的运动学分析，并给出相关结果。(The kinematics analysis of the robot is realized based on MATLAB platform, and the relevant results are given.)

蚁群混合算法源代码 采用MATLAB，必要的说明和注释(Hybrid ant colony algorithm source code using MATLAB, the necessary instructions and notes)

MATLAB 图像处理命令附录 并有简短程序和代码(MATLAB image processing orders and a brief appendix procedures and code)

具有相关性的风速序列的拉丁超立方采样方法的例子，包含Cholesky以及排序(Examples of correlation between wind speed sequence of Latin hypercube sampling method, including Cholesky and sorting)

在工程应用中 经常会遇到一些复杂的非线性系统, 这些系统状态方程复杂, 难以 用数学方 法准确建模。 在这种情况下, 可以 建立 BP 神 经网 络表达这些 非 线 性系 统。 该方法把未 知 系 统看成是一个黑箱, 首先用 系 统 输入输出 数据 训 练 BP 神 经网 络, 使网 络能 够表达该未 知 函 数, 然后就可以 用训练好的 BP 神经网络预测系统输出 。 本章拟合的非线性函 数为 y = x1^2+x2^2. 。 (In engineering applications often encounter some complex nonlinear systems, which complicated the equation of state, can not be accurately modeled mathematically. In this case, BP neural network can be established to express these nonlinear systems. The method of the unknown system as a black box, the first input and output data with systematic training BP neural network, the network can express the unknown function, then you can use the trained BP neural network forecasting system output. Chapter for fitting non-linear function y = x1 ^ 2+x2 ^ 2..)

本件描述了单电感入网的解耦模型，通过仿真和实验验证了正确性(This part describes the decoupling model of single inductor network, through simulation and experiment verify the correctness )