MATLAB

RNNSIM v.2 package contains a number of m-files for training and evaluation of the random neural network. All functions have been thoroughly tested. After downloading the separate files or the zipped file, make sure that they are stored or extracted in the directory /rnnsimv2 Below an overview of the files contained in this directory along with a brief description of what they do. The on-line help facility explains how to call the different functions. You simply write help <function-name> in the MATLAB command window. Along with the m-files in this directory you will find a manual for the simulator in PDF format (rnnsimv2.pdf). Start by printing this out and read the release notes. Two simple demonstration programs are given to illustrate how most of the functions work.

说明：  实现matlab的ofdm编程，可以实现的，(Implementation of ofdm matlab programming, can be achieved,)

SHIF 算法的matlab实现,可以用于比较SHIF算法(SHIF Algorithm Implementation of Matlab can be used in the comparison algorithm SHIF)

optiaml facts allocation using evolutionary algorithm

直接序列扩频伪码跟踪simulink仿真程序，仿真PN码捕获，跟踪过程完整过程。(Direct sequence spread spectrum code tracking simulink simulation program, emulation PN code acquisition process complete process of tracking.)

dynamic voltage restorer with five level diode clamp inverterdynamic voltage restorer with five level diode clamp inverterdynamic voltage restorer with five level diode clamp inverter

复杂网络社区发现中，用于计算边介数的代码。(Complex network of community found in the code for edge betweenness calculation.)

通过matlab用有限差分法求解织构单元的雷诺方程程序(The Reynolds equation program for texture elements is solved by finite difference method in MATLAB)

speed control of dc motor

主要设计了在matlab下异步电动机双闭环控制的仿真。(The main design of the closed-loop control of asynchronous motor in matlab simulation.)