资源列表
partA
- 四阵元无噪声干扰理想情况下，智能天线波束赋形-Smart Antenna beam-forming
partB
- 四阵元理想情况下情况下，来波方向为30度时，各阵元波形- Smart Antenna beam-forming
partC
- 四阵元理想情况下情况下，来波方向为30度，干扰信号方向为45度时，各阵元波形- Smart Antenna beam-forming
partD
- 四阵元理想情况下情况下，来波方向为30度时，波束赋形- Smart Antenna beam-forming
detectionRadio
- 恒虚警检查，根据虚警率确定门限值，进而确定检测概率-CFAR check, according to the false alarm rate to determine the threshold, and to determine the probability of detection
ga-bp
- 用遗传算法来改善BP神经网络模型，可以很好的用于最优化、预测等问题的求解-Using genetic algorithms to improve the BP neural network model, can be very good for optimization, forecasting and other problem solving
Dijkstra
- 图与网络论中求最短路径的Dijkstra算法 M-函数 格式 [S,D]=minroute(i,m,W) i为最短路径的起始点,m为图顶点数,W为图的带权邻接矩阵， 不构成边的两顶点之间的权用inf表示。显示结果为：S的每 一列从上到下记录了从始点到终点的最短路径所经顶点的序号； D是一行向量，记录了S中所示路径的大小 -Graph and network theory Dijkstra' s shortest path algorithm M-functio
Experimental-differential-equations
- 学习用matlab求解微分方程，掌握一些基本的函数。-Learn to use matlab to solve differential equations, to master some basic functions.
Optimization-experiments
- 学习用matlab求解最优化问题，提高matlab实际应用能力-Learn to use matlab to solve the optimization problem, the ability to improve the practical application of matlab
r3ls
- R3LS的matlab程序，最小二乘法的递推算法-R3LS the matlab program, recursive least squares algorithm
RLS
- 递归最小均方误差中，权矢量随迭代次数收敛曲线-recursive least squares
Markov_Chain_Monte_Carlo_Methods
- 详细讲述了马尔科夫蒙特卡罗算法的实现原理。-Details about 马尔科夫蒙 Monte Carlo algorithm implementation principle.