CPLEX-dispatch

改进后的游程编码，可以继续量化编码转化为二进制数据流，针对一些较为接近的数，通过合适的阈值设定可以近似，从而大大压缩数据流(The improved run-length coding, can continue to quantify the code into binary data stream, for some of the more close to the number set by appropriate threshold can be approximated, thereby greatly compressed data stream)

说明：  uwb的BPSK调制进行时域和频域的分析,并画出时域和频域图形(UWB BPSK modulation in time domain and frequency domain analysis and paint time domain and frequency domain graph)

Matlab的书籍的统计方法计算，这本书包含源代码(Matlab books, on the calculation of statistics, the book contains the source code)

matlab建模的百科全书，司守奎老师编著的(many useful knowledge about matlab )

学习matlab的必备，对于初学者来说希望能帮到你(Learning Matlab essential, hope you can help for beginners)

说明：  飞蛾火焰优化算法、原论文及matlab仿真程序(Moth flame optimization algorithm, original paper and MATLAB simulation program)

PSO particle sowarm optimisatin

Matlab和VC混合编程的实例，自己写的，包含基本的矩阵运算，Matlab定义的数据结构mwArray和c++的通讯，希望对初学者有帮助。 需要Matlab 6.5自带的C++数学函数库支持。(Matlab and VC examples of mixed programming, write, and contains the basic matrix operations, Matlab data structure defined mwArray and c++ communication, hope to help beginners. Requires Matlab 6.5 comes with C++ Math Library support.)

说明：  SGA（Simple Genetic Algorithm）是一种强大的智能多变量优化算法，它模仿种群繁殖规律来进行优化。本SGA可以优化变量，求最小值,最大值（当把函数倒数也就求最小值） 并且支持浮点编码，grey编码，二进制编码；轮赌法选择，锦标赛选择；单点交叉，均布交叉，浮点交叉；单点变异，浮点变异；调用时Genetic（目标函数名） 使用SGA时，首先需要一个目标函数（像AimFunc.m），该函数返回适应度输入变量为待优化变量x输出为一个适应度。然后修改Genetic.m中可以修改的地方(SGA (Simple Genetic Algorithm) is a powerful smart multi-variable optimization algorithm, which mimics the reproduction of law to be optimized. The SGA can be optimized variables, minimum, maximum, (when the function will last for the minimum) and supports the floating-point encoding, grey code, binary code round of betting method selection, tournament selection single-point crossover, uniform crossover , floating-point crossover single point mutation, floating-point mutation called Genetic (objective function name) the use of SGA, first of all need an objective function (like AimFunc.m), the fitness function returns the input variables to be optimized for the output variable x a fitness. Can be modified and then modify the place Genetic.m)

Source code to Generate Parity check matrix for 0.4 Code Rate for chinese Standard.