KalmanExample

利用MATLAB语言实现RGB图像自动降噪(RGB images using MATLAB language to achieve automatic noise reduction)

EKF，UKF以及自适应UKF性能的比较，里面给出了详细的仿真场景及结果说明(EKF, UKF and adaptive UKF performance comparison, which gives a detailed simulation scenario and the results show that)

星座SAR动目标检测，包括原始背景面目标模拟，运动点目标模拟，数据合成与配准，星座SAR动目标检测算法(Constellation SAR moving target detection, including the original background surface raw data simulation, moving point target simulation, data synthesis and registration, constellation SAR moving target detection algorithm)

最小生成树prim算法，Dandn文件给出了输入参数的名称及格式即在调用prim前先输入邻接矩阵D和节点个数n输入prim得到两行的矩阵T,将上下两行数字对应的节点相连即可(Prim algorithm for minimum spanning tree, Dandn document gives the name and format of the input parameters that is called prim before Input adjacency matrix D and the node number n input prim to be two lines of the matrix T, the upper and lower figures correspond to two lines of nodes connected to can)

说明：  经典ESPRIT算法，在等间距接受阵列的条件下，直接估计出我们想要接收信号的角度。八个接收天线，二个目标信号，噪声为高斯噪声。(Classical ESPRIT algorithm, such as spacing in the array to accept the conditions, we want to directly estimate the received signal point of view. Eight receiving antennas, two target signal and noise as Gaussian noise.)

自己编写的matlab微粒群算法工具箱。微粒群算法（pso）是一种人工智能算法，速度比遗传算法快一些。(I have written matlab PSO toolbox. Particle swarm optimization (pso) is an artificial intelligence algorithm, the speed faster than the genetic algorithm.)

％ [BestPop,Trace]=fmaxga(FUN,LB,UB,eranum,popsize,pcross,pmutation) ％ Finds a maximum of a function of several variables. ％ fmaxga solves problems of the form: ％ max F(X) subject to: LB <= X <= UB ％ BestPop--------最优的群体即为最优的染色体群 ％ Trace----------最佳染色体所对应的目标函数值 ％ FUN------------目标函数 ％ LB-------------自变量下限 ％ UB-------------自变量上限 ％ eranum---------种群的代数,取100--1000(默认1000) ％ popsize--------每一代种群的规模；此可取50--100(默认50) ％ pcross---------交叉的概率,此概率一般取0.5--0.85之间较好(默认0.8) ％ pmutation------变异的概率,该概率一般取0.05-0.2左右较好(默认0.1) ％ options--------1×2矩阵,options(1)=0二进制编码(默认0),option(1)~=0十进制编码,option(2)设定求解精度(默认1e-4)( [BestPop, Trace] = fmaxga (FUN, LB, UB, eranum, popsize, pcross, pmutation) Finds a maximum of a function of several variables. Fmaxga solves problems of the form: max F (X) subject to : LB <= X <= UB BestPop-------- optimal chromosome groups is the best group Trace---------- chromosome corresponding to the best objective function value FUN------------ objective function LB------------- variable lower limit since the UB------------- variable upper limit eranum--------- populations algebra, take 100- 1000 (default 1000) popsize-------- population size of each generation this desirable 50- 100 (default 50) pcross--------- crossover probability, the probability of a general check 0.5- 0.85 between the better (default 0.8) pmutation------ mutation probability, the probability of 0.05 general admission better about-0.2 (default 0.1) options-------- 1 × 2 matrix, options (1) = 0 binary code (default 0), option (1) ~ = 0 decimal coding, option (2 ) set accuracy (default 1e-4))

This is application example for using Gauss-Seidel method in power system.

HYBRID MULTILEVEL CONVERTERHYBRID MULTILEVEL CONVERTERHYBRID MULTILEVEL CONVERTERHYBRID MULTILEVEL CONVERTERHYBRID MULTILEVEL CONVERTERHYBRID MULTILEVEL CONVERTER

PNN and K-mean algorithm