yichuansuanfa5

TotalWES.m是主干程序，而DCoef和FCTforAW是里面调用的函数。TotalWES只要实现交错网格有限差分波场数值模拟，其中的FCTforAW是用来消除数值频散的。这些是实现弹性波波场模拟的程序，其它两个文件是实现声波波场模拟的程序(TotalWES.m is the backbone of the procedure, and DCoef and FCTforAW is inside a function call. As long as the realization of TotalWES staggered grid finite difference numerical simulation of wave field, which FCTforAW is used to eliminate the numerical dispersion. These are the realization of elastic wave field simulation procedures, the other two documents are to achieve the sound the ball field simulation procedures)

implementation of Fuzzy C Means clustering with Markov Random Field

说明：  预编码 BER仿真 matlab ，MIMO，预编码算法仿真，precoding MIMO，BER(Precoding BER simulation matlab, MIMO, precoding algorithm simulation, precoding MIMO, BER)

这是一篇关于5自由度机器人建模与仿真的论文，是做机器人仿真方面很好的参考资料(This is the one on the 5-DOF robot modeling and simulation papers are doing a very good reference for robot simulation,)

Pilot Based Estimation in OFDM system which discusses the comb estimation technique and the interpolation used

认知无线中的能量检测，仿真了高斯信道和瑞利信道的检测概率、虚警概率与判决门限的关系曲线以及两者之间的关系曲线(The detection probability, false alarm probability and the decision threshold of the Gauss channel and the Rayleigh channel are simulated by the energy detection in cognitive radio.)

这些代码是TD-SCDMA的程序，可以帮助学者更好地理解和掌握TD-SCDMA(The code is the program TD-SCDMA can help scholars better understand and master the TD-SCDMA)

偏微分方程的图像去噪算法全集，PM方程，SHOCK滤波器等MATLAB代码(Algorithm for Image Denoising Complete Works, PM equation, SHOCK filters MATLAB code)

Spectral Element Method to solve the 2D SH wave equation,strain weakening (plasticity) in the bulk,paraxial absorbing boundary conditions and zero initial conditions in a structured undeformed grid.

模拟多波长前向泵浦拉曼光纤放大器，通过解raman耦合微分方程，实现信号光放大，程序能够运行，直接出结果，绝对是少有的程序，很珍贵(Before simulation of multi-wavelength Raman fiber amplifier to pump through the solution raman coupled differential equations for signal light amplification, the program can be run directly out of the results, the program is absolutely rare, very rare)