dec

这个一个比较详尽的matlab工具大全（中文版），喜欢的朋友赶快下，有好的资料请上传～(This a more detailed tool matlab Guinness (Chinese version), like a friend as soon as possible, there is good information, please upload ~)

识别车牌号的程序,不同文件实现不同的识别功能：P0801：索书号文字图像分割P0802：粘连字符切分P0803：文字识别P0804：彩色车牌分割P0805：商标文字分割 (the car)

高斯过程的协方差函数 及其选着 列出多个协方差函数

这是John Wiley出版的<Computational Colour Science using MATLAB.e2ban>教科书书附带的程序代码,自成一体为Matlab下的色度学工具箱. 建议将解压文件放到本地机已经安装Matlab的路径中,在toolbook文件夹下自己创建一个名为colour的文件夹中.比如:For example, this may be c:Program FilesMATLABp65 oolboxcolour 但具体路径取决于Matlab在你机器中的安装路径. 如果你将该colour文件夹加入Matlab环境路径中,该工具箱就与其它工具箱一样使用.-This is John Wiley published(It is published by John Wiley <Computational Colour Science using MATLAB.e2ban> Textbook book accompanying program code, self-contained for the colorimetric under Matlab toolbox. Suggested extracting file on the local machine has been installed in the path of Matlab in toolbook folder create yourself a folder named colour For example: For example, this may be c: Program Files MATLABp65 toolbox colour but the exact path depends on your machine Matlab installation path if you join the colour folder path in the Matlab environment, the tool box to use the same connection with other toolkits.-This is John Wiley published)

说明：  相位片制作，全息图实现,很好的源代码，包括原图重现图(Phase film production, a hologram to achieve)

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 . )

车载组合导航仿真（直接解微分方程）捷联和gps以及里程义组合，直接解微分方程(Vehicle Integrated Navigation Simulator (direct solving differential equations) and the strap and the gps mileage justice portfolio, direct solutions of differential equations)

cosine similarity measure

源代码为作者在2012年9月参加的全国研究生数学建模 联合开发网 - pudn.com

fingerprint estimation