matlabcxsj

FUNCTION FILE DMC VARIABLES

一个关于MIMO-OFDM的信道估计程序，程序中为一个2*2系统，你可以根据自己需要进行相应的扩展(on a MIMO-OFDM channel estimation procedures, procedures for a 2* 2 system, You can according to their need for a corresponding expansion)

包含两个程序,以蛙跳积分法绘制henon-heiles演化方程的时间演化图,x-y,x-vx,y-vy相图和三维庞加莱截面图.( Contains two procedures to leapfrog integration time evolution plotted in Figure henon-heiles evolution equations, xy, x-vx, y-vy phase diagram and three Weipangjialai-sectional view.)

利用遗传算法训练神经网络的matlab程序，可避免神经网络训练的局部最优问题。(The use of genetic algorithm matlab neural network training procedure can avoid the neural network training problem of local optimum.)

本SGA可以优化变量，求最小值,最大值（当把函数倒数也就求最小值啦） 并且支持浮点编码，grey编码，二进制编码；轮赌法选择，锦标赛选择；单点交叉，均布交叉，浮点交叉； 单点变异，浮点变异；(The SGA can optimize the variables, find minimum, maximum (when the function is also seeking the minimum reciprocal friends) and support for floating-point encoding, grey code, binary code roulette method selection, tournament selection single point crossover, uniform Cross, floating-point crossover single point mutation, floating-point mutation )

How to create exe file using Matlab

本程序实现了对无线电覆盖的3D仿真，包括反射效应的2D模拟以及基于接收端与发射端距离的功率衰减。并实现基于Matlab的3D仿真。(The program 3D simulation of radio coverage, including 2D simulation based on the receiving end and the transmitter end distance power attenuation of the reflection effect. And to achieve the 3D simulation based on Matlab.)

实现隐马尔科夫（HMM）的算法的函数的matlab 源代码。以及应用HMM实现的具体应用实例。(Implementation algorithm of hidden markov (HMM) as a function of the matlab source code. As well as the application example that concrete application of the HMM.)

filtering with kalman

Feeding antennas with proper signals can be difficult. The signal is often described as a voltage, and voltages are not well defined in electromagnetic wave formulations. There are several tricks to model voltage generators in such situations, and one is the magnetic frill. This model shows the basic steps of defining a magnetic frill voltage generator for a dipole antenna, and it also compares the resulting antenna impedance with known results.