lab_1

说明：  matlab 与 vc 混合编程 自带的例程(matlab and vc )

matlab代码:eu2hom.m 笛卡儿坐标转齐次坐标 hom2eu.m其次坐标转笛卡尔坐标 plot3square: 画三维简单图形.(Matlab code: eu2hom.m Cartesian coordinates turn the homogeneous coordinates hom2eu.m coordinate transformation Cartesian coordinate plot3square is: draw three-dimensional simple graphics.)

小生境遗传算法程序 ％ MyFun1.m - 一维优化函数 ％ MyFun2.m - 二维优化函数 ％ MyFun3.m - 三维优化函数 ％ Main_GA1.m - 一维函数优化 - 主程序 ％ Main_GA2.m - 二维函数优化 - 主程序 ％ Main_GA3.m - 三维函数优化 - 主程序(Niching genetic algorithm procedure MyFun1.m- one-dimensional optimization function MyFun2.m- two-dimensional optimization function MyFun3.m- three-dimensional optimization function Main_GA1.m- one-dimensional function optimization- the main program Main_GA2.m- two-dimensional function optimization- the main program Main_GA3.m- three-dimensional function optimization- the main program)

matlab程序设计教程 讲的比较详细 是ppt格式(matlab ppt)

针对多椭圆检测问题提出了一种快速随机检测算法。该算法利用在图像中随机采样到的一个边缘点和 局部搜索到的两个边缘点以及这三个点的邻域信息确定候选椭圆,再将候选椭圆变换为对应圆,通过确认真圆来确 认真椭圆。在确定候选椭圆时,最大限度地减少随机采样点数‰ 剔除更多的非椭圆点,降低了无效采样,减少了无效 计算。数值实验结果表明:该算法具有良好的鲁棒性,其检测速度比同类算法快(Ellipse detection problem for many a fast random detection algorithm. The algorithm uses random sampling in the image of an edge point and the local search to the two edge points, as well as the three-point neighborhood information to determine the candidate ellipse, and then transformed into the corresponding elliptical candidate won, through the identification of real yen to confirm really elliptical. In determining when a candidate ellipse, to minimize random sampling points ‰ remove more non-oval points, reducing invalid sampling, to reduce the calculation invalid. Numerical experimental results show that: the algorithm has good robustness, and its detection faster than similar algorithms quickly)

基于3G LTE上行链路准静态仿真系统的研究(3G LTE uplink based on the quasi-static simulation system)

gradient conjugue à pas fix , à pas optimal

这是用身高体重数据进行性别分类的实验。 用最小错误率贝叶斯分类器决策时，首先通过比较概率大小判断一个体重身高二维向量代表的人是男是女，然后再逐一与已知性别的数据比较，就可以得到错误率的统计。然后改变先验概率，重复上面的过程，观察数据结果的变化。 用最小风险贝叶斯分类器决策时，首先求出用最小错误率贝叶斯分类器得到的条件概率；然后根据人为给定的决策表，根据公式算出条件风险；然后逐一比较条件风险，找出使条件风险最小的决策（也就是分类）。最后用分类得到的结果逐一比较已经知道的原始数据，统计处错误率。 (This is the height and weight data for gender classification experiment. With the minimum error rate Bayesian classifier decisions , first by comparing the probability of the size and weight to height to determine a person represented by two-dimensional vector is male or female , and then one by one with known gender data comparison, the statistical error rate can be . Then change the prior probability , repeat the above process , the results of the changes observed data . Bayesian classifier with the minimum risk decision-making , first find the minimum error rate using Bayesian classifier to get the conditional probability then artificially given decision table , according to the formula to calculate conditional risk and then one by one more conditional risk , to find ambassador to the conditions of minimum risk decision making (ie classification) . Finally, the results obtained with the classification by-side comparison of the raw data have been aware of SD error rate . )

说明：  用matlab实现的小算法程序，基于分块嵌入(Algorithm with a small matlab program implementation, block-based embedding)

说明：  LQM算法 图像质量评估方面的 matlab语言编写的(LQM algorithm for image quality assessment)