ILS-GLIDE-SLOPE

汽车高斯曲面拟合 --- 2程序，以适应到表面二维高斯： 子= A *的进出口（ -（（西为X0）^2/2/sigmax^2 +（艺Y0的）^2/2/sigmay^ 2）。。）+ b的 这些例程是自动在某种意义上说，他们并不需要出发对模型参数的猜测规范。 autoGaussianSurfML（十一，彝，子）适合通过对模型参数的最大似然（最小二乘）。它首先计算了该模型在许多可能的参数值，然后选择最佳质量设置和细化与lsqcurvefit它。 autoGaussianSurfGS（十一，彝，紫）的估计，通过指定数据的贝叶斯生成模型，然后采取通过从模型吉布斯抽样样本后ofthis模型参数。这种(Auto Gaussian Surface fit --- 2 routines to fit a 2D Gaussian to a surface: zi = a*exp(-((xi-x0).^2/2/sigmax^2+ (yi-y0).^2/2/sigmay^2))+ b The routines are automatic in the sense that they do not require the specification of starting guesses for the model parameters. autoGaussianSurfML(xi,yi,zi) fits the model parameters through maximum likelihood(least-squares). It first evaluates the quality of the model at many possible values of the parameters then chooses the best set and refines it with lsqcurvefit. autoGaussianSurfGS(xi,yi,zi) estimates the model parameters by specifying a Bayesian generative model for the data, then taking samples from the posterior ofthis model through Gibbs sampling. This method is insensitive to local minimain posterior and gives meaningful error bars (Bayesian confidence intervals))

33节点配电网潮流计算，应用前退回带法，计算简单，收敛迅速(33 node distribution power flow calculation, before the return with the application method, the calculation is simple, rapid convergence)

对基带bpsk信号加高斯白噪声做误码率分析(Bpsk baseband signal plus Gaussian white noise do BER analysis)

AoA simulation using matlab

说明：  DE算法整定PID参数，智能算法解决PID参数整定问题的例子。(DE for solving PID tunning)

Spectral analysis. Analysis, signal coding and voice synthesis in Matlab

With increasing wind penetration in power systems, many national grid codes will demand complete models and simulation studies under different system conditions in order to ensure that the connection of a wind farm will not have a detrimental impact on the network to which it will be connected. Hence a dynamic model with reduced-order double cage representation for the DFIG and its associated control and protection circuits has been developed. It was then used to simulate the response of wind turbine to network faults on a simple two busbar system.

Matlab code of Zero Forcing Symbol Space Equalizer using MMSE

本文提出一种联合盲自适应梯度算法的功率控制算法，该算法同时对功率向量和接收滤波器权向量进行迭代更新。仿真结果表明，采用本文提出 的功率控制算法， 在系统内用户发射总功率一定的条件下， 可以获得更高的用户信干比和更大的系统容量。(Throughout the monograph, we highlight the use of mathematical language and tools in the study of power control, including optimiza- tion theory, control theory, game theory, and linear algebra. Practical implementations of some of the algorithms in operational networks are discussed in the concluding chapter. As illustrated by the open prob- lems presented at the end of most chapters, in the area of power control in cellular networks, there are still many under-explored directions and unresolved issues that remain theoretically challenging and practically important.)

爱尔兰B、爱尔兰C、D算法、F算法 仿真程序(ElangB、ElangC、D、F algorithm Simulation)