significance

说明：  MATLAB求解偏微分方程 很详细 算例很多(MATLAB Solution partial differential equations in great detail)

matlab编制的随机骨料多边形模型,适合随机骨料的建模和有限元分析(poly rabdom arrevege)

使用Matlab AR模型的LPC函数来做特征值提取。传统方法中LPC一般用来做语音处理。这里每100个数据来做LPC，用获得的N阶参数来作为振动信号的特征值。这样10000个样本可以获得100个特征值样本集。用这些样本集可以做神经网络分类(Matlab AR model LPC function to do eigenvalue extraction. Conventional method LPC generally used for voice processing. Do LPC, where each of 100 data is obtained N-order parameter as the characteristic values ​ ​ of the vibration signal. So 10000 samples can be obtained the 100 the eigenvalue sample set. Neural network classifier can do with these sample sets)

Improved HS and LK optical flow technique is attached. In addition, newly devloped estimation algorithm is available,

JPDA用来进行多目标跟踪的JPDA算法的MATLAB程序包. 跟踪效果还行(JPDA used for multi-target tracking JPDA algorithm MATLAB package tracking performance is also OK )

对萨德系统AN/TPY-2雷达的威力范围进行仿真计算。原创！！(The power range of SAD AN/TPY-2 radar is simulated. Original!!)

Matlab code for the least square error channel estimation and Minimum Mean Square channele estimation for a MIMO OFDM system. simulation result is compared with theory.

BFGS变尺度法，MATLAB实现，求解函数极值(BFGS variable metric algorithm implemented by MATLAB)

该算法是以粒子群中粒子的收敛特性为基础,依据量子物理理论提出的,改变了传统粒子群算法的搜索策略,可使粒子在整个可行解空间中搜索寻求全局最优解。同时该算法的进化方程中不需要速度向量,而且进化方程的形式更简单,参数较少且容易控制。对两个算例进行仿真测试,证实该算法可有效解决经济负荷分配问题 性能对比显示,该算法求得的解优于已有的改进粒子群算法及其它优化算法所求得的解。(The algorithm is based on convergence particle swarm particle basis, according to the theory of quantum physics, particle swarm algorithm has changed the traditional search strategies, allow the particles throughout the feasible solution space search seek the global optimal solution. Meanwhile, the algorithm does not need velocity vector evolution equations, and evolution equations simpler and less parameters and easy to control. Two examples of simulation tests confirmed that the algorithm can effectively solve the economic load allocation performance comparison shows that the algorithm is superior to existing solutions obtained improved PSO algorithm and other optimization algorithms obtained solution.)

信息系统的盲目删除属性约简算法，采用matlab实现(Information system blindly delete attribute reduction algorithm implementation using matlab)