RSSI_X

利用MATLAB编程实现线性规划，利用单纯形法处理问题(Linear programming using MATLAB programming, dealing with the problem using the simplex method)

单用户超宽带通信系统仿真,基于线性调频信号(single-user UWB communication system simulation, based on the linear FM signal)

实现了通信中的MATLAB的最大似然译码操作(implement the ml method in the communication system)

LMS算法及仿真实现，在等高线性能平面上绘制出了滤波器系数的运动轨迹和最优滤波器系数，以及错误概率的变化趋势。针对迭代次数变化和迭代步长变换分别作了相关讨论。(LMS algorithm and the simulation realization, in contour performance plane drawing out of the filter coefficient trajectory and optimal filter coefficient, and the change tendency of the error probability. According to the iteration times change and iterative step length transform the discussion related respectively. )

惯性导航系统属于一种推算导航方式．即从一已知点的位置根据连续测得的运载体航向角和速度推算出其下一点的位置．因而可连续测出运动体的当前位置。惯性导航系统中的陀螺仪用来形成一个导航坐标系使加速度计的测量轴稳定在该坐标系中并给出航向和姿态角(Inertial navigation system is a dead reckoning navigation mode. That is from a given point according to the measured continuous carrier heading angle and velocity calculates the next location. The current position which can)

自己制作的基于循环谱的FAM算法，可以调试一下。(Make your own FAM algorithm based on cyclic spectrum, can be debugged.)

Satatistical program for variancy

试验数据处理的有效程序，对于模态分析很有效(Valid test data processing program, is very effective for modal analysis)

git 命令图，一张汇总图，详细说明git所有相关命令。(git command graph, a graph to introduce the git command .)

粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。(Particle swarm optimization, also known as particle swarm optimization (Particle Swarm Optimization), abbreviated as PSO, is a new evolutionary algorithm developed in recent years (Evolutionary Algorithm- EA). Kind, and simulated annealing algorithm PSO algorithm is similar evolutionary algorithms, it is also starting a random solution, through an iterative search for the optimal solution, which is also used to uate the quality through fitness solution, but it is simpler than genetic algorithm rules It has no genetic algorithm " crossover" (Crossover) and " variant" (Mutation) operation, which by following the current search to find the optimal value to the global optimum. This algorithm is its easy implementation, high accuracy, fast convergence, etc. attracted academic attention and show its superiority in solving practical problems. PSO algorithm is a parallel algorithm.)