chapert7

说明：  本文提出一种平面度误差评定的最小条件快速精确算法。用此法可在不加任何人工判断的条件下,在计算机上求得最小条件平面度误差值(This paper presents a flatness error evaluation of the minimum conditions for fast and precise algorithm. Method can be judged without any artificial conditions, on the computer to achieve the minimum conditions for flatness error)

说明：  the linear ARX model as shown below [12] is used to represent the input and the output data for the system. This ARX model is utilized for both Least Square (LS) and Recursive Least Square (RLS) algorithms. It is one of the simplest statistical methods for system identification used to find the transfer function for the model. The equations given by [15]: Y=φβ+ξ (7) β=〖(φ^T φ)〗^(-1) φ^T Y (8) where Y is the predicted output. φ is includes actual input and output parameters. β is includes parameters to be estimated.

对于一阶系统辨识，分别采用LMS、RLS、仿射投影算法来估计参数(For a first-order system identification, respectively, using LMS, RLS, affine projection algorithm to estimate the parameters)

这个matlab程序实现了目标对象的图像分割与提取技术，附件里的程序以车牌的检测与识别为例，效果非常好。(The matlab program to achieve the target object' s image segmentation and extraction technology, in the annex of the procedures for license plate detection and recognition, for example, the effect was very good.)

The disparity map forms the basis of many computer vision techniques. A disparity map is effectively a limited 3D model

首次提出利用PSO跟踪动态系统 文献[ 36 ]提出用自适应PSO来自动跟踪动态系统的变化,该方法通过对种群中最好微粒的检测和对微粒重新初始化, 有效增强了PSO对系统变化的跟踪能力(PSO is first used to track the dynamic system literature [36] proposed adaptive PSO with dynamic system to automatically track changes in populations by the method of particle detection and the best re-initialization of the particles, effectively enhanced the PSO on system ability to track changes)

C库基本函数的实现过程，都是标准C的函数，写的很好的(C library implementation process of the basic functions are standard C functions, written in good)

在matlab中，基于GUI工具箱，实现了频谱分析仪的功能(GUI-based toolbox in matlab, the spectrum analyzer function)

最简单的matlab程序，heart数据包(The simplest matlab program, heart packet)

last som methods for clustering hope usefull