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卡尔曼滤波程序。实现多维卡尔曼滤波卡尔曼滤波程序。实现多维卡尔曼滤波(Kalman filter procedure.维卡尔曼realize multi-filter )

150例源码，提供学习和源码的分析实现！(150 cases of source code, to provide study and analysis of the implementation source code!)

介绍10M，100M网线做法的，随便看看，还是有点用的。(Introduction 10M, 100M net-line approach, casual look, or a little useful.)

求混沌时间序列的广义维(genealized dimension) (Seeking generalized dimensional chaotic time series (genealized dimension))

说明：  matlab中add函数的C++实现，即矩阵加法的实现，包含条件判断(matlab add functions in C++ implementation, the realization of the matrix addition, including conditional)

基于MatLab和VC编写程序，实现点云数据的快速建模，三角网格的绘制。(MatLab, and VC-based programming to achieve fast data point cloud modeling, triangular mesh rendering.)

Overview: In the application, often the need for custom report format, such as the printing contract, cargo manifests,

说明：  在过去的几年中, 背包问题吸引了众多理论研究人员和应用工作者的注意力, 因而得到了广泛而深入的研究。理论方面, 研究兴趣主要来自于该问题简单的结构, 而这种特点既可以深入探索许多组合特性, 又可以通过解决一系列背包子问题来最终求解更为复杂的优化问题。实践方面, 这些问题可以表述许多工业场合的应用, 最典型的应用包括货 物装载、存储分配和资本预算等等。在寻找背包问题可行解的过程中, 出现了众多的算法, 本文是利用MATLAB 程序求背包问题可行解的一种算法。(In the past few years, knapsack problem has attracted many researchers and application of theoretical attention of workers, which has been extensive and in-depth study. Theory, research interest mainly from the simple structure of the problem, and this characteristic combination of both in-depth exploration of many features, but also can solve a series of knapsack sub-problems to solve more complex final optimization problem. Practice, these problems can be expressed in many industrial applications where the most typical applications include cargo loading, storage, distribution and capital budgets, and so on. Knapsack problem in finding feasible solutions in the process, there have been many algorithms, this is the knapsack problem using MATLAB program seeking a feasible solution algorithm.)

本文给出了m序列多项相关性的概念，还研究了生成多项式计数的问题(In this paper, the concept of multiple correlation m series, also studied the problem of generation polynomial count)

混合编程方法,便于VC++与matlab进行混合编程(matlab and vc++ mex)