INS_GPS_Intergrated_navigation

matlab作聚类分析，可实现很好的分类效果哦(matlab for cluster analysis, can be achieved very good classification results oh)

国外发布的航空信道matlab模型，真实可用（附说明）(Abroad issued Aviation matlab channel model, the real can be used (with explanation))

QPSK Transmitter and I/Q Correlator Receiver is based on the technique of queing the information in a bit stream and on the receving end using FFT and some additive filters, as the addition of noise is made to infuse the need of a filter. Necessarily a Baseband filter is used. Modulation acheived at the receiving end. (QPSK Transmitter and I/Q Correlator Recei ver is based on the technique of the infor queing mation in a bit stream and on the receving end usi ng FFT and some additive filters, as the addition of noise is made to infuse the nee d of a filter. Necessarily a Baseband filter is u sed. Modulation achieved at the receiving end.)

Machine learning. Overfit measure algorithm source code in MATLAB.

说明：  压缩感知DOA算法，利用1范数方法进行优化重构，进行方位角估计(Compressed Sensing DOA algorithm, using 1-norm method to optimize reconstruction and azimuth estimation)

this mi test m-file for matlab program

说明：  粒子群算法（PSO）是一种基于群体的随机优化技术。与其它基于群体的进化算法相比，它们均初始化为一组随机解，通过迭代搜寻最优解。不同的是：进化计算遵循适者生存原则，而PSO模拟社会。将每个可能产生的解表述为群中的一个微粒，每个微粒都具有自己的位置向量和速度向量，以及一个由目标函数决定的适应度。所有微粒在搜索空间中以一定速度飞行，通过追随当前搜索到的最优值来寻找全局最优值。 PSO模拟社会采用了以下三条简单规则对粒子个体进行操作：①飞离最近的个体，以避免碰撞。②飞向目标。③飞向群体的中心。这是粒子群算法的基本概念之一。 粒子群算法其基本思想是受许多鸟类的群体行为进行建模与仿真研究结果的启发(Particle swarm optimization (PSO) is a population based stochastic optimization techniques. Based on evolutionary algorithms compared with other groups, they are initialized to a random solution, iterative search through optimal solution. The difference is: the principle of survival of the fittest evolutionary computation to follow, while PSO simulation community. The potential of each solution expressed as a group of particles, each particle has its own position vector and the velocity vector, and a fitness determined by the objective function. All particles in the search space at a constant speed flight, by following the current search to find the optimal values ​ ​ of the global optimum. PSO simulation community has adopted the following three simple rules for the operation of individual particles: ① recently departed individuals, in order to avoid collisions. ② to the target. ③ fly to center groups. This is one of the basic concepts of particle swarm algorithm. PSO algori)

%% 求复杂网络中两节点的距离、平均最短路径长度以及节点间最短路径条数 %% 采用Floyd算法计算任意两节点的距离,并求最短路径条数用于计算介数(Finding the distance between two nodes in a complex network, the average shortest path length, and the number of shortest paths between nodes Calculate the distance between any two nodes using the Floyd algorithm, and find the shortest path number for calculating the in- termediacy)

路径损耗和阴影衰落的建模。分析不同用户在基站区域内接收信号的功率(Path loss and shadow fading modeling)

学习MATLAB编程的书籍，MATLAB7.0的使用指南，主要是画图和图像处理方面(MATLAB7.0Practical guidelines)