emotion_12

一个参照葛德彪书编写的3D FDTD源文件，用matlab语言编写，非常详细的注释，很易看懂,2mur bianjie(GE De-biao a reference book, prepared by 3D FDTD source files, using matlab language, very detailed notes, it is easy to understand, 2mur bianjie)

说明：  单摆运动的matlab 仿真，能有效仿真单摆运动，对MatlAB编程初学者会有用(Matlab simulation of pendulum movement can effectively simulation pendulum movement, MatlAB program will be useful for beginners)

FSK编码器和译码器,有需要的朋友可以看看！(FSK encoder and decoder, there is a need friends can see!)

三维FDTD程序，计算了一细直半波振子的方向图和方向性系数，考虑了细天线的处理方法。(Three-dimensional FDTD program to calculate a fine straight half-wave dipole pattern and directivity, consider the approach of fine antenna.)

讲述了极限学习机原理、核极限学习机原理及其在分类问题中的应用(Tells the story of extreme learning machine principle and its application in the classification in question)

这是一个用c和matlab编写的程序，用于实现k-means算法(This is a matlab with c and the preparation of the procedures used to implement k-means algorithm)

一种电力系统分析工具包，非常实用，包括潮流计算，连续潮流等分析(he PSAT (Power System Analysis Toolbox), simulation model and its analysis steps. The feature, component models, network design of the power system, power flow (PF), continuous power flow (CPF), the small signal stability analysis (SSSA), the simulation of the time domain(TD) and simulation steps of PSAT)

雷达后向投影算法。利用雷达接收到的数据的时延来成像。具有很大的应用价值。(After the radar to the projection algorithm. Using the delay of the received radar data to imaging. Has great value.)

旋转Y切-弹性压电薄膜，谐振器的特性计算及分析，用MATLAB编程计算。(Rotated Y-cut- elastic piezoelectric thin film resonator characteristic calculation and analysis, calculated using MATLAB programming.)

针对非圆信号DOA估计问题,提出了一种基于实值特征值分解 (Eigenvalue decomposition,EVD)的求根MUSIC算法.首先利用非圆信号为实值信号的特点,将阵列上的接收数据及其共轭用欧拉公式转换为实值正弦与 余弦数据,然后将正弦与余弦数据进行串联,从而扩展了数据维数.由于采用实值矩阵的EVD,因此在EVD阶段的运算量简化为复值EVD的1/4.根据 EVD后获得的信号与噪声子空间的特点,对噪声子空间和导向矩阵进行重构以便于可以使用求根MUSIC算法获取对DOA的估计.仿真实验验证了本文算法的 有效性(For the estimation of noncircular signals of DOA, proposes a decomposition value based on real valued features (Eigenvalue decomposition, EVD) the root MUSIC algorithm. Firstly, characteristics of non circular signals for real valued signals, the array data and its conjugate with the Euler formula into real value of sine and cosine and sine and cosine data. The data series, thus expanding the dimension of the data. Because of the use of real valued matrix computation in EVD, so the EVD stage was simplified as a complex valued EVD 1/4. according to the characteristics of signal and noise subspace is obtained after EVD, the noise subspace and orientation matrix reconstruction in order to facilitate the use of DOA can obtain the estimated root MUSIC the algorithm. The simulation results verify the effectiveness of the proposed algorithm)