7310708-Synchronization-in-OFDMBased-WLAN-With

运用MATLAB程序识别图像并将其划分为文字和非文字的两个类别(MATLAB program to identify the use of images and text and is divided into two categories of non-text)

this code is pca base face recognition programme. . this code is pca base face recognition programme. it reads nots(here 5) faces from orl database and the rest (noc-nots) are used as test.

可以成功运行的调制解调程序，很全，对初学者参考使用非常有用(Modulation and demodulation process, very full)

主要包含数学建模中的一个逢山开路问题的求解，还有carlight等问题的实现(Every mountain open)

PCA 主成分分析 程序 采用主成分分析法（PCA），对大沽夹河流域水质进行了定量化综合评价。 (matlab PCA(Principal Component Analysis) programmer is deserved ,it s good to learn.The water quality in Dagujia River basin was assessed by using the PCA method)

watermarking with informed embedding

本文基于毕肖普法和蒙特卡洛法,利用MATLAB编程软件计算了边坡结构的失效概率Pf和对应可靠指标β.在计算上述Pf和对应β时,考虑了土体三个主要基本参数(重度γ、内摩擦角(Ψ)、粘聚力c)的随机特性.利用MATLAB程序的计算结果表明,随机变量对边坡可靠度的影响与基本随机参数对抗滑反力的贡献大小有关,即,贡献大的基本随机参数,它的随机波动对结构失效概率Pf的影响也较大,反之亦然.另外,基于MATLAB的算例计算结果还表明:边坡结构失效概率Pf对内摩擦角(Ψ)较敏感,而对重度y和粘聚力c次之.其次,当同时考虑三个随机变量的联合波动对Pf的影响时发现,当它们在小范围内随机波动时,其联合特性对Pf的影响较敏感,但当它们在大范围内随机波动时,Pf主要受敏感随机变量的影响,而三个随机变量联合作用对Pf的影响和敏感随机变量(Ψ)单独作用时相差不大.由此可见,在实际边坡工程可靠性分析中,土体内摩擦角起主要作用,不容忽视.(Based Bishop method and Monte Carlo method, using MATLAB programming software to calculate the failure probability Pf and the corresponding slope reliability index β structure in the calculation of the above Pf and the corresponding β, consider the three main basic soil parameters (severe γ internal friction angle (Ψ), cohesion c) of the random nature of calculation results using MATLAB program shows that the influence of random variables on the reliability of the basic random slope parameters against anti- slip contribution to the size of the force , that is , the contribution the basic parameters of large random , random fluctuations which affect the probability of structural failure Pf is also larger , and vice versa addition, the calculation based on MATLAB numerical results also show that : the structure of slope failure probability Pf internal friction angle (Ψ) more sensitive , while severe and cohesion c y followed . Secondly, when taking into account the impact of the joint fl)

遗传算法求解VRPTW,可运行，附带说明(VRPTW-GA Genetic Algorithms for VRPTW Solution, Running, with Description)

说明：  基于直流潮流法的IEEE-30节点潮流计算(Power Flow Calculation of IEEE-30 Nodes Based on DC Power Flow Method)

介绍Auto focus的文章，主要介绍了对焦技术，探测技术；包括频域分析、目标函数、目标函数效能验证、影像评估效能之因素、高斯低通滤波器参数的选取、自动对焦技术；以及相关实验结果与分析。(Introduction Auto focus of the article introduces the focus technology, detection technology including frequency domain analysis, the objective function, the objective function performance verification, image assessment of the effectiveness of the factors, Gaussian low-pass filter parameter selection, auto-focus technology and related experimental results and analysis.)