Visual.Basic.Primer.On.Creating.Macros.For.VBA

介绍关于蒙特卡洛算法，用于模拟光子在人体皮肤（组织中传播的作用）(The Monte Carlo algorithm is introduced to simulate the effect of photons on human skin (tissue propagation).)

说明：  集合着网页编程的基础 对于新手的学习是非常有帮助的(Set the foundation for the novice web programming learning is very helpful)

本书提供了快速绘制高质量图形的150多种技巧，每个技巧用来解决一个特定的绘图需求。读者可以通过目录快速定位到自己遇到的问题，查询相应的解决方案。(This book provides more than 150 techniques for quickly drawing high quality graphics, each of which addresses a specific drawing requirement. Readers can quickly locate their own problems through the directory, query the corresponding solution.)

lua程序设计，lua入门最经典的电子书，高清版本(lua programming, lua Getting the most classic books, HD version)

国外大学的讲义，对学习这2种效应基础理解很有帮助，pdf文档中有matalb代码带你一步一步的学习，很值得推荐。(Multipath and Doppler Effects and Models,very useful document of understanding the basic principle with its matlab code .)

使用wifi指纹以及参考点信号强弱实现定位安卓手机精确定位(Fingerprint and the reference point using wifi signal strength to achieve precise positioning positioning Android phones)

说明：  用于进行色彩空间转换的外文资料，有做相关方面的可以看看(Used for color space conversion of foreign materials, there can look at relevant aspects of doing)

Ericsson 3G Trial Network Optimization

车牌识别方面的一堆论文 - 知道大家如何在编程环境下识别车牌，让违章车辆无法遁形。(License Plate Recognition in a pile of papers- you know how to identify the license plates in programming environment, so that vehicles can not be Dunxing illegal.)

关于关联向量机应用的最新文献！ 提出了一种核主元分析(KPCA)和关联向量机(RVM)相结合的组合建模方法。KPCA-RVM采用KPCA对原始自变量进行非线性变换并提取主成分,形成特征自变量 采用RVM,对KPCA变换后的样本数据进行回归建模,并根据模型的预报能力自适应的确定参与回归的最佳特征变量个数,消除冗余信息干扰,获得强非线性表达能力且预报性能良好的模型。并将KPCA-RVM应用于PTA装置对羧基苯甲醛(4-CBA)含量的软测量建模,结果表明该方法预测精度高于PCA-RVM和RVM。(A novel modeling method integrated KPCA with RVM was proposed. The kernel primary component analysis (KPCA) was employed to identify the principal components from the nonlinear transform data of independent variables, which were regarded as character variables. Regression between character variables and dependent variables was done based on RVM, and the optimal number of the character variables was adaptively determined according to the generalization performance of the regression model. Thus, KPCA-RVM meth...)