weifeng

该程序完成的是通过使用所提供的链码（一种方向码）来画出链码所表示的轮廓。所画轮廓在原图上是黑色的线。(the code is used for draw the outline of the region of interest which is show by the chaincode)

Adaptive thresholding for segmentation of the images

阻尼递推最小二乘法,用于系统辨识，效果良好(Damped least square method, used for system identification, the effect is good)

matlab script to calculate sun position

说明：  用蒙特卡洛模拟实现美式期权定价，包括资产路径生成和美式期权欧式期权定价的源代码，附带参考文献。(Using Monte Carlo simulation to realize American option pricing, including the source code of asset path generation and American option European option pricing, with reference.)

利用matlab对数据进行方差分析，有现成代码和案例数据可使用(Use of matlab data analysis of variance, have a ready-made code and data can use cases )

公司分拆问题: 聚类算法与图论算法 matlab 的实现(separate companies : clustering algorithm and graph theory is the realization of Matlab)

机器人运动学和动力学模型，六自由度的，界面设计以及轨迹规划等功能(Robot kinematics and dynamics models, six degrees of freedom, interface design, and trajectory planning, etc.)

　计算机人脸识别技术( Face Reocgnition)就利用计算机分析人脸图像,从中提取出有效的识别信息,用来辨认身份的一门技术。[ 1 ]即对已知人脸进行标准化处理后,通过某种方法和数据库中的人脸样本进行匹配,寻找库中对应人脸及该人脸相关信息。人脸自动识别系统有两个主要技术环节,一是人脸定位,即从输入图像中找到人脸存在的位置,将人脸从背景中分割出来,二是对标准化后的人脸图像进行特征提取和识别。本文中介绍的PCA (特征脸)方法就是一种常用的人脸 特征提取方法。(Computer Face Recognition Technology (Face Reocgnition) on the use of computer analysis of facial image, to extract the valid identification information used to identify the status of a technology. [1] that is known to standardize treatment of face, through a method and a database of face samples for matching, search library, the corresponding face and the face-related information. Automatic face recognition system has two main technical aspects, first, face location, that is, from the input image to find the location of the face there, the faces will be split out from the background, the second is, the standard features of face images extraction and recognition. Described in this paper PCA (Eigenfaces) method is a common facial feature extraction method.)

matlab环境下能量感知算法中SNR对单个节点的感知性能的影响(matlab power aware algorithm under SNR of a single node of the impact of perceived performance)