umts

linear discriminant analysis

这个是TMS320F2812的DSP直流电机驱动程序，对c2000 DSP初学者有很大的帮助！(This is the TMS320F2812 DC motor driver for the DSP, the c2000 DSP beginners great help!)

Clever B.Moler 博士的经典著作《Mumerical Computing with MATLAB》介绍的一个ode23简化版ode23tx算法思想及其程序代码。(Clever B.Moler Dr. classics " Mumerical Computing with MATLAB" describes a simplified version of ode23tx ode23 algorithm ideas and program code.)

可以轻松实现电动汽车恒压恒流两段式充电，性能优越(car charge)

包括脚本文件和函数文件形式，通过matlab代码，有较好的参考价值，可以得到很精确的幅值、频率、相位估计，对HARQ系统的吞吐量分析，感应双馈发电机系统的仿真，包括面积、周长、矩形度、伸长度，到达过程是的泊松过程。(Including script files and function files in the form, By matlab code, There are good reference value, You can get a very accurate amplitude, frequency, phase estimation, HARQ throughput analysis of the system, Simulation of doubly fed induction generator system, Including the area, perimeter, rectangular, elongation, Arrival process is a Poisson process.)

该程序可用于神经网络变量筛选， BP神经网络，程序完整，可直接运行(Neural network variable filter, BP neural network)

说明：  航天器姿态控制仿真程序，利用simulink中sfunction方法建立航天器姿态动力学模型和运动学模型，利用linmod对非线性模型线性化。(The simulation program of spacecraft attitude control uses the sfunction method of Simulink to establish the dynamic model and kinematic model of spacecraft attitude, and uses limod to linearize the nonlinear model.)

质心加权算法质心加权算法质心加权算法质心加权算法(Weighted centroid algorithm weighted centroid algorithm weighted centroid algorithm weighted centroid algorithm)

粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(（Evolu2tionary Algorithm - EA）。PSO 算法属于进化算法的一种，和遗传算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。(Particle swarm optimization, also known as particle swarm optimization (Particle Swarm Optimization), abbreviated as PSO, is a new evolutionary algorithm developed in recent years ((Evolu2tionary Algorithm- EA) .PSO algorithm is an evolutionary algorithm, and similar genetic algorithm, it is also starting random solutions, through iterative search for the optimal solution, which is also uated by the quality of the fitness solution, but it is much simpler than genetic algorithms rule, it does not have the genetic algorithm cross (Crossover) and variant (Mutation) operation, which by following the current search to find the optimal value to the global optimum. the algorithm for its easy implementation, high accuracy, and fast convergence advantages attracted academic attention, and in solving practical problems demonstrated its superiority.)

说明：  Modeling control of power system series capacitance compensation