用c++实现的约瑟夫环

QRcode二维码解码器程序源码本源码实现可以在vc中使用的1D/2D编码解码器。条形码的应用已经非常普遍，几乎所有超市里面的商品上面都印有条形码；二维码也开始应用到很多场合，如火车票有二维码识别、网易的首页有二维码图标，用户只需要用手机扫描一下就可以看到手机版网易的网址，免去了输入长串字符的麻烦。条形码的标准：条形码的标准有ENA条形码、UPC条形码、二五条形码、交叉二五条形码、库德巴条形码、三九条形码和128条形码等.

应用背景基于HMM算法的MATLAB的语关键字识别，比较成熟的小系统，供初学者学习下载，有助于帮助初学者了解语音识别的几本过程，其中提供的一些程序可以改进，识别为一些基本词汇，从建模训练到语音识别关键技术识别过程：识别的前面部分与训练相似，都是要计算得到mfcc系数，不同在于，识别时，将计算得到的mfcc 参数分别代入训练得到的HMM模板求出概率，比较出最大概率者，则该模板对应的数字就是识别的数字。用大量语音文件做测试，结果正确率为90%以上。训练及识别数据太大,少量上传一点,大家可以用COOLEDIT等软件仿照自己制作

C语言版本的矩阵库，目前世界上最流行的三大矩阵运算库之一，这是修正版本，我自己改了几个地方（按照官方要求）-C language edition matrix library , now in the world the most popular three greatest matrixeses carries to calculate the one of the library , this is to revises the edition, myself changed a few places( request according to the authorities)

凸包的标程，对于备战ACM比赛的对员相当有用哦-Convex hull of the standard process, for preparing for the competition of ACM members Oh very useful

3n+1的算法 acm程序设计大赛的练习题目-3n algorithm acm a program design contest entitled to practice

资源描述algothim Sollin的的實作，利用adjencecy的矩阵輸入到节点中。AOE的實作，把所有的資料放進中然後進行找出早期时间跟晚时间

poj 2408 解题代码，北大acm在线可以测试。-problem-solving poj 2408 code, North acm test online.

% Syntax: x=sirt(A,b,tolx,maxiter) % % Inputs: %       A   = Constraint matrix.     A=一个约束矩阵 %       b   = right hand side.       b=右边  %    tolx   = Terminate when the relative diff between   tolx=终止时，两次迭代之间的相对差异小于tolx。 %             two iterations is less than tolx. % maxiter   = Stop after maxiter iterations.         maxiter=停止迭代后 % % Outputs: 请点击左侧文件开始预览 ！预览只提供20%的代码片段，完整代码需下载后查看 加载中 侵权举报

在这个项目中，PID控制器为精馏（精馏）使用遗传算法inMATLABis可供免费下载.项目网站is不再公开发售价格高.免费下载.

资源描述This paper presents a lowcost indoor location identification and material tracking methodology for construction projects using Ultra High Frequency (UHF) passive Radio Frequency Identification (RFID) technology. Onsite location aware information is an emerging area that focuses on automating delivery of spatial information pertinent to location of materials, workforce, and equipment. This spatial information can be used to derive knowledge about construction project status. A two-step algorithm is presented to automate the process of location estimation and material tracking in near-real-time. In this methodology, a number of passive RFID tags are distributed onsite where work is progressing, and a mobile RFID reader is carried by a worker onsite. Each passive RFID tag is deployed as a reference point with a known location (landmark) within a predefined zone. Reference tags of known locations are used to d