Interleaver

此函数是循环平稳过程的相关函数，代码简明，是初学者学习的好资料(This function is the correlation function of stationary process cycle, the code simple, is good information for beginners to learn)

CA方法在MATLAB中的实现，介绍了一些基本的元胞自动机方法，并给出了源程序。(The CA method implemented in MATLAB basic cellular automata method, and given the source code.)

详细介绍了自回归技术公式,同时采用此技术模拟具有空间相关性的随机风荷载,给出了用自回归技术模拟脉动风荷载的步骤以及具体MATLAB程序,并把所编程序用于江阴长江大桥风荷载模拟,结果表明效果较好。 更多还原 (Details of the formulas from regression techniques, while using this technology to simulate the spatial correlation of random wind loads, gives step by regression techniques from fluctuating wind load simulation and the specific MATLAB program, and the program compiled for the Jiangyin Yangtze River Bridge wind load Simulation results show better. More Restore)

时频分析中的cohen类中最基本的双线性时频分布式wigner-ville分布，由于在该分布中不含窗函数，因此避免了短时窗傅里叶变换时间分辨率、频率分辨率相互牵制的矛盾(Time-frequency analysis of the Cohen class of bilinear time-frequency distribution is the most basic Wigner-Ville distribution, because the function in the distribution is not included in the window, so as to avoid the contradiction of short-time window Fourier transform time resolution, frequency resolution of each other)

对影响中断概率 通信系统的简单蒙特卡洛仿真,利用系统中断概率本文主要通过对蜂窝无线通信系统信道、扇区化等的建模，使用MATLAB仿真实现对系统的中断概率的(Study on the Factors Affecting Interruption Probability)

提供多种路由方式，能很好对比节点间的定位效果，可以绘出节点的定位误差和节点间的连接图。(Offers a variety of routing can be a good contrast between the nodes positioning effect, you can draw the connection diagram of the the node positioning error and node.)

说明：  基于平面波展开 传输矩阵计算2维矩形光子晶体模型 计算可得出相关图谱 handbook中除了参数说明还有参考文献等(Plane wave expansion based on the transfer matrix calculation of 2-D model calculation of rectangular photonic crystal patterns can be drawn from the relevant handbook of parameters except that there are references such as)

复杂网络中，无标度网络模型的源代码，以及在此基础建立的最优化传播方法(A complex network, scale-free network model of the source code, and on this basis, the establishment of optimum methods of dissemination)

基于切比雪夫I型的高通滤波器设计Matlab(high-pass filter design based on the Chebyshev)

通用感应器神经网络，神经网络的例程，值得学习！(Universal sensor neural network, neural network routines, it is worth learning!)