Transmissionlines.m

包含各种不同分布的garch模型及copula模型(IT CONTAINS MANY KINDS OF GARCH AND COPULA MODELS.)

 结合理论课讲解基于Matlab建立不同信道模型：高斯信道、Rayleigh信道，Recian信道及多径衰落信道模型；  给出QAM/GMSK调制方式下在上述信道模型下的误码率性能分析，分析比较两种调制方式的优缺点；  分析信道参数、信噪比对误码率性能的影响； (Based on Matlab, we construct different channel models: Gaussian channel, Rayleigh channel, Recian channel and multipath fading channel model. The error rate performance analysis of QAM/GMSK modulation mode under the above channel model is given, and the advantages and disadvantages of the two modulation modes are analyzed and compared.  Analysis of channel parameters, signal to noise ratio on the impact of bit error rate performance )

一基于子空间方法的盲信道估计程序，有英文解释(。-a space-based method for the blind channel estimation procedures, English explained)

files needed to read from text and to update output channels

M=63 J=(M-1)/2 Wp=0.5*pi Ws=0.6*pi Np=100 Ns=100 weightp=1 weights=100 通带和阻带的加权系数 WpN=linspace(0,Wp,Np) WsN=linspace(Ws,pi-0.05,Ns) Wm=[WpN WsN] p=[ones(1,50),ones(1,50)/2] d=[p,zeros(1,Ns)] W=diag([weightp*ones(1,Np),weights*ones(1,Ns)]) C=cos(Wm*[0:J]) Q=diag(cos(Wm*0.5)) g=(W*Q*C)(W*d) g=g h=(g(J:-1:2)+g(J+1:-1:3))/4 h=[g(J+1)/4 h g(1)*0.5+g(2)/4] h=[h fliplr(h)] W=linspace(0,pi-0.1,512) H=freqz(h,1,W) plot(W/pi,20*log10(abs(H))) (filter design)

smoothed particle hydrodynamics, metlab preliminary program

Maximum likelihood estimation for maxwell function

基于遗传算法的认知无线电的实现，充分利用利用遗传算法的人工智能优化，对认知无线电的通信参数自适应调整予以实现。(Based on genetic algorithm, the realization of cognitive radio, full use of genetic algorithm to optimize the artificial intelligence, adaptive adjustment of the communication parameters of cognitive radio to be realized.)

说明：  FIR FILTER IMPLEMENTATION

说明：  在matlab中剪切出自己感兴趣的区域，鼠标点出两点，即可裁剪出所需矩形。(Cut in matlab in their own areas of interest, the mouse to point out two things, you can cut the required rectangle.)