IATSP5.10

二维简单理想导体方柱在MATLAB环境下实现自动剖分，编码。自己整合方程并且求解，得到各点的场值(Simple two-dimensional perfectly conducting square cylinder in the MATLAB environment for automatic generation, coding. Their integration and for solving equations, the various points of market value)

matlab kmp source code

基于遗传交叉的粒子群优化算法有很好的计算效果(Genetic cross-PSO has good calculation results)

模式识别课程中的主成分分析方法PCA的matlab实现源码(Pattern Recognition in the principal component analysis PCA matlab to achieve source)

用MATLAT编的FFT程序，在MATLAB环境下可以显示波形。()

本程序先生成一个“Blocks”信号，然后加上高斯白噪声，再用 db3 小波进行分解，(The Mr. Cheng Xu as a " Blocks" signal, and then add white Gaussian noise, and then ' db3' wavelet decomposed)

说明：  仿真模型包括：可调节电网，交流断路器，LCL滤波器，网侧变换器，Chopper，直流电容，机侧变换器，风力发电机（包括机械部分的模型）。控制及信号处理部分包括：电机参数测量，机侧变换器控制，网侧变换器控制，LVRT控制，风速模拟等部分。(Simulation models include: adjustable power grid, ac circuit breaker, LCL filter, grid-side converter, Chopper, dc capacitance, machine-side converter, wind turbine (including mechanical part of the model). The control and signal processing part includes: motor parameter measurement, machine side converter control, network side converter control, LVRT control, wind speed simulation and other parts.)

mm1排队matlab仿真源码mm1排队matlab仿真源码mm1排队matlab仿真源码(Matlab simulation mm1 line up the source code )

MATLAB常用函数整理，希望能对MATLAB初学者有所帮助(MATLAB functions used order, hoping to be helpful to MATLAB for beginners)

接收端采用的算法和程序流程与发送端发送的OFDM符号的帧结构有关系。具体的帧结构，以及定时估计，频偏估计，剩余误差跟踪的算法可参考算法说明文档。这里对程序的流程进行说明。 首先根据短训练字的特性进行相关运算，进行信号到达检测，当检测到相关值大于门限一定次数后，认为有信号到达。然后根据长训练字的特性，进行相关运算，进行OFDM符号FFT窗口起始位置的估计。估计出FFT窗口的位置后，先在时域进行小频偏的估计，将两个长训练字进行小频偏补偿后，进行FFT运算，根据FFT运算的结果进行整数倍频偏的估计。这些参数估计完成后，就可以进行数据解调了。先对数据部分进行完整的频偏补偿，然后根据估计的FFT窗口位置进行FFT运算得到频域的数据，进行解调。然后在对应于导频的子载波位置上提取出导频信息，根据导频信息估计出剩余定时误差以及剩余的信道响应误差，将误差量送入环路进行跟踪。当收到所有数据后，重新回到信号到达检测状态，进行下一次信号到达的检测和信号接收。 (The receiving end uses the algorithm and the program flow and the frame structure of the OFDM symbol transmitted by the sending end. Specific frame structure, and timing estimation, frequency offset estimation, residual error tracking algorithm can refer to the documentation. Here to illustrate the process of the program. First, according to the characteristics of the short training word correlation operation, the signal reaches the detection, when the correlation value is greater than the threshold of a certain number of times, that there is a signal to reach. Then, according to the characteristics of the long training word, the correlation operation is carried out, and the initial position of the OFDM symbol FFT is estimated. The estimated position of the FFT window, first in the time domain for small frequency offset estimation, two long training word for small frequency offset compensation, the FFT operation. According to the result of FFT for integer frequency bias estimation. Af)