GLCM-2014-07-28

该程序为GUI学习书籍中的源码以及一些其他的一些关于GUI的例子，程序很多很丰富，希望对学习GUI的同学有参考作用！(The program for the GUI to learn the source books as well as a number of other examples on the GUI, the program a lot of very rich, want to learn GUI-have reference for students!)

simulink实现的BPSK数字通信系统，通过高斯白噪声信道的恢复情况。 各位请注意一下参数可由m文件给出，也可以在模块中直接给出。(simulink realization of the BPSK digital communication system, through the white Gaussian noise channel recovery. Members please note the file parameter is given by m, can also be given directly in the module.)

说明：  可以进行粒子群优化算法的初步计算。MATLAB计算简便，快捷(Particle Swarm Optimization can be carried out a preliminary calculation algorithm. MATLAB calculation is simple, fast)

说明：  包含波束形成的仿真，五种阵列波束：线阵，主瓣偏移线阵，切比雪夫加权的线阵，圆阵，平面阵(Beamforming simulation contains five arrays beam: linear array, the main valve offset linear array, weighted Chebyshev linear array, circular array, planar array)

粒子群优化算法求解贷款方面的程序，供大家参考(Particle swarm optimization algorithm lending program, for your reference)

psat2.1.8 解压缩后直接放入Matlab Toolbox文件夹中，是电力系统分析中很好用的软件。(After the file directly into Matlab Toolbox psat2.1.8 unzipped folder is a good use of power system analysis software.)

LU decomposition for algorithms code submitted is implemented in matlab

(书)现代通信系统使用MATLAB第三章(ALLIANCES is a recently proposed cooperative random access protocol for wireless networks. In this paper we modify the original model to include user location information. We also derive pair-wise error probability (PEP) under Rayleigh flat fading channel and a power-law attenuation environment. Based on the PEP analysis we propose an optimal relay selection scheme, which achieves significant throughput gains as compared to the random relay selection scheme in the original ALLIANCES.)

an introduction to dynamic meterology chapter 5-9 chapter matlab所有代码 气象专业经典资料(an introduction to dynamic meterology chapter 5-9 matlab code)

脉冲噪声下跳频信号的时频分析，低阶SPWVD,抑制噪声并且得到其参数估计。(Impulse noise time-frequency analysis, frequency hopping signals under low SPWVD and suppress noise and get its parameter estimation.)