Neural-Network-Toolbox-MATLAB

稀疏阵的方向图仿真，给出了不同条件下的稀疏阵列的方向图(This is the simulate about sparse array ,different conditions have been taken into account )

均匀圆阵仿真:m=8 阵元数 azimuth=[-55 0 40] 方位角 p=length(azimuth) 信号源个数 snap=1000 最大快拍数 drl=0.5 圆阵半径与波长之比 snr=15 信噪比dB 流程：1、构造信号2、构造噪声阵列流型矩阵3、观测信号4、观测信号协方差矩阵5、求解特征值与特征向量6、显示图谱。(The uniform circular array simulation: m = 8 element azimuth = [-55 0 40] azimuth p = length (azimuth) number of source snap = 1000 maximum number of snapshots drl = 0.5 ratio of the radius of the circular array wavelength snr = 15 SNR dB process: 1, constructed signal structure noise array manifold matrix 3, the observed signals observed signals covariance matrix 5 eigenvalue and eigenvector 6, display the map.)

模型参考自适应控制的MIT方法。输入为一单位阶跃信号，自适应律为积分适应律。(MIT model reference adaptive control method. Input is a unit step signal, adaptive law is an integral adaptation law.)

The generating systems use Doubly-Fed Induction Generators (DFIGs) to achieve high conversion efficiency and to reduce the installation cost. This paper presents a modeling and Maximum Power Point Tracking (MPPT) control method of DFIG-based variable-speed wind energy conversion system. The generator considered is a wound rotor induction machine whose stator is connected directly to the grid and the rotor is fed through back-to-back Pulse-Width Modulation (PWM) converters. Stator flux-oriented vector control is applied to control the active and reactive current loops independently. The MPPT control method in a Wind Energy Conversion System (WECS) is proposed. The proposed control solution aims at driving the position of the operating point near to optimality. This is a very important aspect to maintain DFIGs efficiently in a variable wind speed. The wind generator is modeled in RSCAD program which is interfaced with the Real Time Digital Simulator (RTDS).

说明：  为考查各种不确定性因素对系统运行的影响，需要大量地重复性潮流计算。结合概率理论形成的概率潮流计算能够充分考虑这些不确定性因素。由概率潮流计算可以得到节点电压、电流、支路潮流的均值、方差、概率密度函数等统计特性，从而更全面地反映系统运行状况。(In order to examine the impact of various uncertainties on system operation, a large number of repetitive power flow calculations are needed. The probabilistic power flow calculation based on probability theory can fully consider these uncertainties. Statistical characteristics of node voltage, current and branch power flow, such as mean, variance and probability density function, can be obtained from the calculation of probabilistic power flow, thus reflecting the operation status of the system more comprehensively.)

this code generates a bank of steerable gabor wavelets with variable orientation, scale

小波矩的matlab代码，主要用于全局特征提取使用，比较简便(Wavelet Moment matlab code, mainly for global feature extraction using relatively simple)

multidevice antenna for portable device

2*1 alamouti code, MIMO Rayleigh fading Channel Capacity, and waterfilling

toolbox de MatLab, de analisis lineal discriminante