ALOHA

ConvolveByRiemannSum assumes that x(t) and h(t) have finite support, and that the user provides samples of these functions in two vectors, x and h. These vectors contain samples of x, sampled at time points given in vector tx = tx_min:Delta_t:tx_max and samples of h sampled at time points in vector th = th_min:Delta_t:th_max, respectively. The functions x and h are assumed to be zero outside tx_min and tx_max and outside th_min and th_max, respectively. Note that while tx_min, tx_max, th_min, and th_max may differ, the time sample vectors must share the same time-interval, Delta_t.

三机九节点电力系统牛顿法潮流计算与短路计算算例编程(Three machine nine-bus power system, Newton' s method flow calculation and short circuit calculation example programming)

无噪情况下root_MUSIC算法关于DOA的估计(Noise-free case root_MUSIC on DOA estimation algorithm)

This file gives the main function for the implementation of the hybridized version of the cuckoo search algorithm by combining it with the Nelder Mead Simplex algorithm. The method is designed to minimize functions with a low number of dimensions in a low number of iterations.

交流调压电路所使用到的晶闸管相关型号和晶闸管选择原则，包括一些电路和MATLAB的仿真说明 (AC voltage regulation circuit of the thyristor used to select the relevant model and the principles of thyristor, including circuit and MATLAB simulation shows)

Matlab HOG exercise matlab svm learning

说明：  审定平均电平检测器(CMLD)CFAR，适用于多目标环境下的检测和定位(detector based on the censored mean level detector constant false alarm rate (CMLD-CFAR) technique)

主要介绍遗传算法在BP网络优化中的应用，二者结合，使网络参数得到优化(Introduces the genetic algorithm in BP network optimization in the application of a combination of both, so that network parameters are optimized)

this is simulink model of boost converter basic principal of operation

　提高电源的动态响应　　非线性和复杂的系统是一个转换器　　电力电子的有趣的挑战。摘要介绍了　　设计和实现数字PID控制器使用　　混沌粒子群优化(复)提振　　转换器,提出了自动调优转换器的方法　　最优启动响应。当系统启动时,处理器　　单元分析了开环启动响应转炉和　　在一些迭代使用复准备最佳反应　　算法。使用逻辑映射混沌映射序列　　增加它的收敛速度和精度。模拟　　和实现结果显示提出的效率　　方法(Improving dynamic response of DC-DC converters which are nonlinear and complicate systems is an interesting challenge in power electronics. This paper presents the design and implementation of digital PID controller using the chaotic particle swarm optimization (CPSO) for a Boost converter and proposes an approach for auto tuning converter optimum startup response. When the system starts, processor unit analyses the open loop startup response of converter and prepares optimum response during some iteration using CPSO algorithm. Chaotic mapping using logistic map sequences increases its convergence rate and resulting precision. Simulation and Implementation results show efficiency of proposed approach)