亲测可用的快速扩展随机生成树算法源码

matlab维纳滤波器，初次尝试，请大家共同学习(matlab wiener filter, the first attempt, please learn together)

说明：  本程序代码包含了 SC SCL BP SCAN和SSC译码算法，以及各种编码算法GA，BA....*** 编程语言风格为C++，研究polar的和我一样渣渣的研一萌新点进来have a look 感谢大佬pan jianpeng ，感谢共享源码(This program code includes SC SCL BP SCAN and SCC decoding algorithm, as well as various coding algorithms GA, BA... *** Programming language style is C++, research polar and slag like me have a look Thank you pan jianpeng, thank you for sharing the source code)

说明：  相量测量工具的优化配置，相量测量装置的功能，向量测量装置的用途(Optimal pmu Placement)

通过internet远程对LeCroy示波器进行参数读取与设置(distance right through the internet LeCroy oscilloscope with the parameters set to read)

子载波数 128 位数/ 符号 2 符号数/ 载波 1000 训练符号数 0 循环前缀长度 8 (1/16)*T 调制方式 4-QAM 多径信道数 3 IFFT Size 128 信道最大时延 2 (Subcarriers median number of 128 percent/2 percent symbol symbol number/carrier training symbols 1000 a few 0 cyclic prefix length of 8 (1/16)* T modulation 4-QAM the number of multi-path channel 3 IFFT Size 128 the largest delay channel 2)

智能控制理论关于Fuzzy control的一个实例，包括任务书和matlab源代码(Intelligent Control Theory on the Fuzzy control of an instance, including the mission statement and the source code matlab)

运用TDOA/AOA定位方法使用扩展卡尔曼滤波定位算法的的matlab程序源码仿真代码 (Use TDOA/AOA location method using extended Kalman filter algorithm matlab program source code of simulation)

最优剪枝极限学习机的matlab工具箱，内有源码课直接拿来修改使用(Extreme Learning Machine optimal pruning matlab toolbox, there are lessons directly used to modify the source code)

仿真图是速度、距离、幅度三维图像，LCMV优化设计阵列处理信号，对HARQ系统的吞吐量分析，一种流形学习算法（很好用），是国外的成品模型，具有丰富的参数选项。

为了有效地应用遗传算法解决 鲁棒控制系统设计问题，将遗传算法与局部优化方法相结合，提出了基于降维扫描方法的自适应多目标遗传算法（DRSA-MOGA）。通过引入适应度函数标准化方法、基于最优Pareto解集搜索的降维扫描方法和适应度函数自适应调整方法，提高了算法的全局优化性能和局部搜索能力。仿真结果表明，DRSA-MOGA算法在不损失解的均匀度的情况下可以达到很高的逼近度(For effective application of genetic algorithms to solve robust control system design problems, genetic algorithms and local optimization method, based on reduced-order adaptive scanning method multi-objective genetic algorithm (DRSA-MOGA). Fitness function through the introduction of standardized methods, based on the Pareto optimal solution set of search methods and dimensionality reduction scan fitness function adaptive adjustment method, the algorithm improve the performance of global optimization and local search capabilities. The simulation results show that, DRSA-MOGA algorithm solution without loss of uniformity can be achieved under a high degree of approximation)