Fishercalssification

8kw DC source in Matlab/Simulink

基于互信息的图像配准程序。用matlab编写的。有助于理解互信息。(based on mutual information of image registration procedures. Prepared using Matlab. Contribute to the mutual understanding of the information.)

This is a program for image segmentation using game theory

完美的OFDM仿真，可以应用于多种环境下的数据链路，并含有多种结果仿真(OFDM perfect simulation, can be applied to a variety of data link environment and contains a variety of simulation results)

说明：  这是一个关于MATLAB的函数，能够用DEMO打开；使用时首先解压然后转换为M文件即可。很方便的。(It is a MATLAB function, can open the DEMO use first and then converted to M-extracting files. Very convenient.)

用MOM方法数值计算二维导体柱散射问题，值得下载(MOM method using two-dimensional conducting numerical scattering problem, it is worth downloading)

Banker Algorithms Implemented in C/C++

计算一个方柱的散射的波形，并求其RCS。方柱的网格总数是N=500个，时间步为1200步。网格尺寸为lamda/18,时间间隔是ddx/2*c，c为光速。脉冲源位于中心。方柱边长为7*lamda。并与相同尺度的球的散射场进行对比(Calculate the scattered waveform of a square column and find its RCS. The total number of grids of the square column is N=500 and the time step is 1200 steps. The grid size is lamda/18, the time interval is ddx/2*c, and c is the speed of light. The pulse source is at the center. The side of the square column is 7*lamda. And compare the scattering field of the ball of the same scale)

用局部参数最优化方法设计一个模型参考自适应系统,可调增益的初值Kc(0)=0.2，给定值r(t)为单位阶跃信号，即r(t)=A×1(t)。 要求： 1把连续系统离散化(采样时间可取0.1)。 2编制并运行这个系统的计算机程序(注意调整B值，使系统获得较好的自适应特性)。 3记录ym、yp的曲线 记录kp×kc的曲线 记录广义输出误差e的变化曲线。 4在参数收敛后，让Kp=2变为Kp=1，重新观察Kp×Kc及e的变化曲线。 5找出在确定的B值下，使系统不稳定的A值(阶跃信号的幅值)，并与用劳斯稳定判据计算的结果比较。 (With local parameter optimization method to design a model reference adaptive system, adjustable gain initial Kc (0) = 0.2, for a given value of r (t) for the unit step signal that r (t) = A × 1 ( t). Requirements: a continuous system discretization (sampling time of 0.1 preferred). 2 compiled and run the system computer program (Note B to adjust the value of the system to obtain better adaptive characteristics). 3 records ym, yp curve record kp × kc curve records generalized output error e curves. 4 parameter convergence, let Kp = 2 into the Kp = 1, re-observed Kp × Kc and e curves. B-5 to find value in determining the next, making the system unstable A value (step signal of amplitude), and using Routh stability criterion and the comparison of the results calculated.)

kalman filter for state space estimation. descrat time, with Monte Carlo