resid2wp

matlab 包含优化问题试验、微分议程试验、代数实验和综合试验等 (matlab optimization problem that contains test, differential agenda test, algebra test and integrated test)

说明：  配电网潮流计算（40个节点），采用前推后代的方法(distribution network power flow calculation)

steinberg nuendo 5.5.1 activation code - Resource Download

matlab仿真无线信道各种衰落特性（瑞利衰落），调制方式为QPSK(the matlab simulation wireless channel fading characteristics (Rayleigh fading), QPSK modulation)

DFS以及海明窗汉宁窗的各种实例代码。对学习matlab很有帮助(DFS work hanming hainig matlab)

粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation)，有Eberhart博士和kennedy博士发明。源于对鸟群捕食的行为研究 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域(Particle Swarm Optimization (PSO) is an evolutionary computation technique (evolutionary computation), has Dr. Eberhart and Dr. kennedy invention. Deriving from the behavior of birds of prey PSO with genetic algorithm is similar to an iterative optimization-based tools. System initialization for a group of random solutions, through the iterative search for optimal values. But there is no cross-genetic algorithm used (crossover) and mutation (mutation). But the particles in the solution space of the particles to follow the optimal search. In detail the steps after the introduction sections compared with the genetic algorithm, PSO has the advantage of being simple and easy and did not realize many of the parameters need to be adjusted. Has been widely applied to function optimization, neural network training, fuzzy system control, as well as other genetic algorithm applications)

a smaple matlab program

这是《wcdma无线网络规划与优化》书上对应的源代码的第二部分，共有10个matlab源程序代码。("wcdma wireless network planning and optimization" book on the source code corresponding to the second part, A total of 10 Matlab source code.)

希尔伯特-黄变换在电力故障中的应用 内含EMD分解 希尔伯特变换算法(Hilbert- Huang transform in power failure in the application)

比较全面地编写了空间谱估计的各种算法、性能分析(To write a more comprehensive spatial spectrum estimation algorithm, performance analysis)