PV_2012

it is very useful 4 matlab developers

借助matlab平台实现卡尔曼滤波算法，并对其外滤波后的误差进行分析(With the aid of matlab platform to realize the kalman filter algorithm, and the outer filter after the error is analyzed )

利用NSGA-II算法实现水资源配置多目标优化问题(Realization of multi-objective optimization of water resources allocation based on NSGA-II algorithm)

K最邻近密度估计技术是一种分类方法，不是聚类方法。 不是最优方法，实践中比较流行。 通俗但不一定易懂的规则是： 1.计算待分类数据和不同类中每一个数据的距离（欧氏或马氏）。 2.选出最小的前K数据个距离，这里用到选择排序法。 3.对比这前K个距离，找出K个数据中包含最多的是那个类的数据，即为待分类数据所在的类。(K nearest neighbor density estimation is a classification method, not a clustering method. It is not the best method, but it is popular in practice. Popular but not necessarily understandable rule is: 1. calculate the distance between the data to be classified and the data in each other (Euclidean or Markov). 2. select the minimum distance from the previous K data, where the choice sorting method is used. 3. compare the previous K distances to find out which K data contains the most data of that class, that is, the class to which the data to be classified is located.)

rs-232 terminal programm software com-port

数据排队的仿真过程，反映了源速率和相关参数的关系(it s the simulation of queueing model which reflects the relationship between source rate and parameters. )

说明：  this .m file is about the gauss-newton iteration

Inverse zig zag scan used after zigzag scan to arrange the data back to 2d matrix or image

分形维数计算的毯子算法matlab代码,混沌的判断指标Lyapunov指数计算,车牌识别定位程序的部分功能。( Fractal dimension calculation algorithm matlab code blankets, Chaos indicator for Lyapunov index calculation, Part of the license plate recognition locator feature.)

matlab 语言编程实例 及仿真图像 原理图