很好的卡尔曼滤波程序

PSD采用BT/AR/方法，得到自相关函数

徐士良写的《数值分析与算法》，这是随书的源程序，有需要的朋友可以下来看看！-XU Shi-liang wrote the "Numerical Analysis and algorithm", it is with the source, a friend in need can look down!

ASDAASDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDAASDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDdddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddd

动态规划算法求字符串的相似性（编辑距离）-dynamic programming algorithms to find the similarity of the string (edit distance)

对串的赋值算法实现-right string assignment algorithm

模糊聚类分析作为无监督机器学习的主要技术之一，是用模糊理论对重要数据分析和建模的方法，建立了样本类属的不确定性描述，能比较客观地反映现实世界，它已经有效地应用在大规模数据分析、数据挖掘、矢量量化、图像分割、模式识别等领域，具有重要的理论与实际应用价值，随着应用的深入发展，模糊聚类算法的研究不断丰富。在众多模糊聚类算法中，模糊C-均值（ FCM） 算法应用最广泛且较成功C,本算法用了几十个随机点的聚类来简单的阐述C++算法的基本原理,

近似I=三重积分（（f（x，y，z）dz dy dx）），用

此程序可以计算 1-D 样条函数。用户可以把一些已知的 1 D 数据、 和内插的值可以由惩基于样条函数计算。

本程序实现了列主元高斯消去法，程序层次清晰，界面详细-this program out of the main yuan Gaussian elimination method, procedure levels clear and detailed interface

源程序实现的是基于卡尔曼滤波的车辆检测与跟踪，并对车辆进行计数编号。-Source implementation is based on Kalman filtering vehicle detection and tracking, and count the number of vehicles.