RL_IEEE14

空时自适应处理程序 空时自适应处理的MATLAB仿真程序 (STAP process)

微波天线三维建模电磁仿真软件HFSS相关学习文献(HFSS waveguid)

The channel coding toolbox includes: Channel models: Binary, symmetric channel (BSC)...

《MATLAB模糊逻辑工具箱的分析与应用》一书讲述了模糊逻辑的基本原理，结合MATLAB仿真进行试验。是个很好的学习教程。(Analysis and application of MATLAB fuzzy logic toolbox " a book about the basic principles of fuzzy logic, combined with the MATLAB simulation test. It is a good learning tutorial.)

通信网中离散时间多重休假排队问题分析的matlab程序，完整的毕设程序，可以运行(Communication network in the discrete-time multiple vacation queuing problem analysis matlab program, complete the Bi-based program, you can run)

VML画饼形图的一个小例子，供大家参考一下吧(VML-shaped graph画饼a small example for your reference yourself)

提出了一种求解电磁场有限元 边界元混合法所生成的线性方程组的有效方法 ———内观 法结合多波前法.由于该线性方程组的系数是一个部分稀疏部分满填充的矩阵,为了加速求解,应用内观法将系数矩阵分为 2块,一块是有限元法形成的稀疏矩阵,另一块是边界元法生成的满阵,然后用多波前法求解稀疏矩阵方程,用高斯 约当消去法解满阵方程. 采用该方法,计算了二维多层介质柱体的雷达散射截面.计算结果表明,该方法的计算效率远远高于传统的高斯法.(Proposed for solving mixed finite element boundary element linear equations generated by an effective method of Vipassana--- a combination of multi wave front method. Since the coefficients of linear equations is a part of the sparsely populated part of the full matrix, in order to speed up the solution, application of Vipassana coefficient matrix is ​ ​ divided into two, one is the finite element method for the formation of the sparse matrix, the other is the boundary element method generates the full array, and then use the multifrontal method for solving sparse matrix equation Gauss Jordan elimination method with full matrix equation solution. use this method to calculate the two-dimensional multi-layer dielectric cylinder of the radar cross section. The results show the computational efficiency of this method is much higher than the traditional Gaussian law.)

energy protocol for wsn for energy saving to enhance the lifetime of wsn

高阶统计量盲解卷积，非常老的算法，值得改进(HOS for blind deconvolution)

引力搜索算法和粒子群算法结合优化函数的一个例子。(An example of combining gravitational search algorithm with particle swarm optimization algorithm is given.)