CHAP5_4

matlab环境下ofdm在瑞利衰落信道中的仿真(matlab ofdm rayleigh)

来自国外的2D phase unwrap 的matlab源码。基于branch cut(剪枝法) 及FloodFill（洪泛法）实现。速度很快。相位解卷绕精度高。(2D phase unwrap from abroad matlab source. Based branch cut (Pruning) and FloodFill (flooding method). Fast. Phase unwrapping high precision.)

据理论中用于求取Jousselme证据距离案例(According to the case of Jousselme Evidence Distance in theory)

entropy function with matlab

abt lbg algorithm using matlab

PID用于机器人路径控制的MATLAB程序,路径选择是一个简简单的正弦函数.控制参数是速度和角速度.，已通过测试。 (The MATLAB program PID control for robot path, the path selection is a sine function simply control parameters and angular velocities. Has been tested.)

采用加权网络中节点强度和权重都是幂率分布的模型，可以广泛的应用于数据预测及数据分析,用MATLAB实现动态聚类或迭代自组织数据分析。( Using weighted model nodes in the network strength and weight are power law distribution, Can be widely used in data analysis and forecast data, Using MATLAB dynamic clustering or iterative self-organizing data analysis.)

AR建模工具箱 - ArToolBox,用于时间序列分析和应用，方便且规范的代码，易于使用。(The AR modeling toolbox- ArToolBox, for time series analysis and applications, convenient and standardized code, easy to use.)

有限元的程序，好用的，做毕业设计可以做参考(Finite element program, easy to use, do graduate design reference can be done)

一种改进的萤火虫算法解决动态0-1背包问题。经过测试，算法就有良好的性能。(Firefly Algorithm (FA), Genetic Algorithm (GA) and Differential Evolution (DE) have been widely used for static optimization problems, but the applications of those algorithms in dynamic environments are relatively lacking. In the present study, an effective FA introducing diversity with partial random restarts and with an adaptive move procedure is developed and proposed for solving dynamic multidimensional knapsack problems. To the best of our knowledge this paper constitutes the first study on the performance of FA on a dynamic combinatorial problem. In order to uate the performance of the proposed algorithm the same problem is also modeled and solved by GA, DE and original FA. Based on the computational results and convergence capabilities we concluded that improved FA is a very powerful algorithm for solving the multidimensional knapsack problems for both static and dynamic environments.)