基本粒子群算法的源代码

一个有趣的桌面撞球模拟,可录制avi,输出坐标参数及图象(An interesting desktop billiards simulation, can record avi, output parameters and image coordinates)

this is the inverter model DC-to- AC in order to be used in a simulink model

说明：  k均值聚类算法（k-means clustering algorithm）是一种迭代求解的聚类分析算法，其步骤是，预将数据分为K组，则随机选取K个对象作为初始的聚类中心，然后计算每个对象与各个种子聚类中心之间的距离，把每个对象分配给距离它最近的聚类中心。(The k-means clustering algorithm is an iteratively solved clustering algorithm in which the data is pre-divided into K groups, the K objects are randomly selected as the initial clustering center, and then the distance between each object and the seed clustering center is calculated, and each object is assigned to the clustering center closest to it.)

【实例简介】可用于计算高斯等光束的等效面积，用于激光损伤

用于近场信号的参数估计，如信号方位、距离(estimation of DOA)

一种基于增广矩阵束的L型阵列的二维DOA估计算法的MATLAB源程序设计(Based 2D DOA estimation algorithm MATLAB source of the L-shaped array augmented matrix beam design)

线性规划源码（精通matlab最优化计算第10章）(The linear programming source code (proficient matlab optimization calculation Chapter 10))

DEMO MSER WITH DATA OF IDCAR 2015

说明：  在信號處理中，核自適應濾波器是一種非線性自適應濾波器。[1]一種自適應濾波器是適應其一個濾波器傳遞函數通過最小化錯誤或隨時間的信號特性的變化的損失函數表徵濾波器從理想行為多遠偏離。自適應過程基於從一系列信號樣本中學習，因此是在線算法。非線性自適應濾波器是傳遞函數是非線性的。 核自適應濾波器使用核方法實現非線性傳遞函數。[1]在這些方法中，信號被映射到高維線性特徵空間，非線性函數被近似為核的總和，其域是特徵空間。如果這是在再生核Hilbert空間中完成的，則核方法可以是非線性函數的通用逼近器。內核方法具有凸損函數的優點，沒有局部最小值，並且實現起來只有中等複雜度。(State-space recursive least-squares (SSRLS) is optimal a linear estimator for deterministic signals. The performance of SSRLS however, depends on model uncertainty, time-varying nature of the observed signal or nonstationary behavior of the observation noise)

matlab 自动生成各种随机数的命令，希望对大家有所帮助(hehe ，it is very useful to us.I hope it can give everyone a help.)