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OFDM的调制过程，已经运行过，比较不错，过程很清晰(OFDM modulation process has been run before, quite good, the process is very clear)

模式分类，提取的新特征，包括熵和尺寸特征，可分性好效果明显(pattern recognition ,new feature incuding entropy and size feature, better performance)

对最优波束形成准则中的最大信噪比，给出了其Matlab仿真源程序程序。(The optimal beamforming standards to the maximum signal-to-noise ratio, and gives the Matlab source program. )

通信原理课程设计，matlab仿真-BPSK信号，方便大家，方便自己(communication principle curriculum design, Matlab simulation-BPSK signals to facilitate, convenience)

optiaml facts allocation using evolutionary algorithm

Description All the filters have needed neighbor data the current pixel in the image,here this function(res_window=cover_window(how many neighbor value for row ,how many neighbor value for column ,input image) produce the result( res_window(row,col,total size)) input inp_img=2d data(row * col) w=cover size w=[3 3] = 3x3 cover pixel generation output o_img=result 3d o_img(w(1),w(2),r*col) if inp_img=[1 2 3 4 5 6 ] w=[3 3] Soloution it will construct new image new_img=[0 0 0 0 0 0 1 2 3 0 0 4 5 6 0 0 0 0 0 0] result o_img(:,:,1)=[0 0 0 0 1 2 0 4 5] o_img(:,:,2)=[0 0 0 1 2 3 4 5 6] finally o_img(1:3,1:3,6) example a=imread( pears.png ) b=rgb2gray(a) c=cover_window( b,[3 3]) 3x3 window construction

仿真信号的FFT频谱和功率谱，绘制了emd分解结果，以及瞬时包络和瞬时频率图，还有Hilbert-Huang谱和Hilbert边际谱。(The FFT spectrum and power spectrum of the simulated signal, the emd decomposition results, and the instantaneous envelope and instantaneous frequency maps, as well as the Hilbert-Huang spectrum and the Hilbert marginal spectrum.)

多径损耗模型，可以作为参考。多径损耗模型，可以作为参考(Multi-path loss model, can be used as reference。Multi-path loss model, can be used as reference。)

一、安装matlab c++数学库 主要为matlabC/C++数学库 安装说明 1.将matlab文件夹复制到你的电脑上的c++builder安装目录下，可参考《Matlab C++应用开发》的第3.3节 2.双击intall.bat,根据提示操作(A, to install matlab c++ math library main the the matlabC/C++ math library Installation Instructions 1. The matlab folder to the installation directory on your computer c++builder, refer to the " Matlab C++ application development 3.3 2. Double-click intall . bat, follow the prompts)

利用两层BP神经网络训练加权系数。隐含层的激活函数取S型传输函数，输出层的激活函数取线性传输函数(Weighting factor of two layers of BP neural network training. The hidden layer activation function to take the S-shaped transfer function, the output layer activation function to take a linear transfer function)