AM

MATLAB模型，双馈风电机组基于最大功率跟踪，低风速超速控制，中风速高风速变桨距控制(DFIG MATLABThe wind turbine and the doubly-fed induction generator (WTDFIG) are shown in the figure called The Wind Turbine and the Doubly-Fed Induction Generator System. The AC/DC/AC converter is divided into two components: the rotor-side converter (Crotor) and the grid-side converter (Cgrid). Crotor and Cgrid are Voltage-Sourced Converters that use forced-commutated power electronic devices (IGBTs) to synthesize an AC voltage from a DC voltage source. A capacitor connected on the DC side acts as the DC voltage source. A coupling inductor L is used to connect Cgrid to the grid. The three-phase rotor winding is connected to Crotor by slip rings and brushes and the three-phase stator winding is directly connected to the grid. The power captured by the wind turbine is converted into electrical power by the induction generator and it is transmitted to the grid by the stator and the rotor windings.)

an rbf matlab file that uses som for clustering

hidden markov models for face recegnisation

慢速跳频，调制样式为MFSK(MFSK/FH)，包括信号的发射接收模型，自己写的代码，仅供参考。(Slow frequency hopping, modulation pattern for the MFSK (MFSK/FH), including the launch of signal reception model, write your own code, for reference purposes only.)

说明：  数据挖掘聚类算法研究 (Data Mining Clustering Algorithm)

内含大量关于优化问题的函数，如线性优化，整数规划，非线性规划(Contains a large number of optimization functions, such as linear optimization, integer programming, nonlinear programming)

瞬时无功功率理论p-q法的源程序，m文件，程序有详细的解释与说明。工程应用中的使用。(Instantaneous reactive power theory pq law source, m files, programs have detailed explanations and instructions. Engineering applications used.)

在LEACH算法的基础上对簇头选择从节点剩余能量与节点分布位置进行了加权处理，仿真结果显示，较LEACH协议延长了网络生存时间，降低了网络总体能耗。(On the basis of the LEACH algorithm for cluster heads selection on the basis of the node residual energy and the node distribution location weighted processing, simulation results show that, the LEACH protocol extended the network survival time, reduce the network energy consumption as a whole. )

Fourier transform and DFT (Fourier transform)

(1) 读取n副连续有重叠部分的图像，在n副图像中检测SIFT特征，并用SIFT 特征描述子对其进行描述。 (2) 匹配相邻图像的特征点，并根据特征点向量消除误匹配。 (3) 使用RANSAC方法，确定变换参数。 (4) 图像融合 ((1) Read n successive overlapping sub-part of the image, the image of the n sub-SIFT features detected and characterized using SIFT descriptors be described. (2) adjacent to the image feature point matching, and according to the feature vector to eliminate false matching points. (3) using RANSAC approach to determine the transformation parameters. (4) image fusion)