CS

蒙特卡洛算法的仿真源代码 介绍了蒙特卡洛仿真的基本思想 并附带了一些具体例子(monteCarlo resources code in the matlab )

space coding with maxima ratio combining.

说明：  认知无线电技术的提出是为提高频谱利用率，而认知无线实现的关键技术是频谱感知，众所周知协作检测提高了衰落环境中认知用户系统检测的性能，该文章是基于协作检测提出新的检测方案，利用了双门限方法提高了系统性能，兼顾带宽有限和增强性能两个方面，是基于门限检测的协作检测性能优化的前提。对以后门限优化协作检测非常有用。(In this paper, we employ a double threshold method in energy detector to perform spectrum sensing, while a fusion center in the cognitive radio network collects the local decisions and observational values of the secondary users, and then makes the final decision to determine whether the primary user is absence or not. Simulation results will show that the spectrum sensing performance channels is improved significantly under the proposed scheme as opposed to the conventional method.)

说明：  通信blast的matlab仿真程序 （希望大家多多上传哈）(communications blast of Matlab simulation program (I hope Members can upload Kazakhstan))

高斯模拟污染物扩散，数据为深圳2012年西风的，数学建模题(Gauss simulation of pollutant diffusion data for Shenzhen in 2012, the west wind, mathematical modeling problem)

基于牛顿-拉夫逊法的电力系统潮流计算程序，33节点系统。matlab-Based on the Newton- Raphson method of power flow calculation program, matlab(Based on the Newton- Raphson power flow calculation program, a 33-node system. matlab-Based on the Newton-Raphson method of power flow calculation program, matlab)

整数规划的matlab代码，常用的优化工具！(Integer programming matlab code, commonly used optimization tools!)

说明：  麻雀搜索算法(Sparrow Search Algorithm, SSA)是于2020年提出的。SSA 主要是受麻雀的觅食行为和反捕食行为的启发而提出的。该算法比较新颖，具有寻优能力强，收敛速度快的优点(Sparrow search algorithm (SSA) was proposed in 2020. SSA is mainly inspired by the foraging behavior and anti predation behavior of sparrow. The algorithm is novel and has the advantages of strong optimization ability and fast convergence speed)

该压缩文件是一些经典图论算法的集合，主要适用matlab开发，种类齐全，方便大家的学习。(The compressed files are a collection of classical graph algorithms, mainly for matlab development, a broad range, we facilitate learning.)

辅助激光光学分析与应用，有matlab源代码，肯定有用(Assisted laser optics analysis and applications, there is matlab source code is certainly helpful)