单机架站全攻略(CHM)

Another book of Atmel Arduino

Wireless Technician’s Handbook Wireless Technician’s Handbook Wireless Technician’s Handbook(Wireless Technician' s Handbook Wireless Technician' s Handbook Wireless Technician' s Handbook)

Ericsson 3G Trial Network Optimization

本文针对并行干扰抵消检测器的不足之处，提出了改进的并行干扰抵消检测算法——基于多项式展开的并行干扰抵消多用户检测算法。该算法将多项式展开检测器作为并行干扰抵消检测器第一级的数据估计值，以提高检测可靠性。通过仿真实验，首先验证了多项式展开检测器的性能。然后比较改进算法与传统检测器的性能，验证改进算法的系统性能得到明显改善；并与并行干扰抵消检测器、解相关检测器和MMSE检测器相比较，验 证得到该改进算法的性能也有不同程度的改善。 (this paper discusses the principle and performance of the conventional detector and the parallel interference cancellation(PIC)detector separately.Since the conventional detector take MAI only as the background noise without considering the existence of the other users,the existence of MAI has a significant impact on the performance of CDMA systems.Each stage of PIC detector utilizes the data estimates of the initial or previous stage,produces a new set of MAI estimates,and then subtracts out all of the MAI for each user in parallel.Through Monte Carlo simulation in different scenarios,the results illustrate the influence of MAI in conventional CDMA ystems.Theexperimental results show PIC detector can effectively eliminate MAI andimprove the system BER. )

说明：  是一部window开发比较全面的书籍，书中涉及了window开发的所有内容，适合有一定编程基础的开发人员不断地学习。(Window is a more comprehensive development of books, book covers all the contents of window development for a certain programming based development staff have been learning.)

GSM Applications with Integrated GPS Receiver Siemens Cellular Engine XT65/XT75

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...)

Lua编程入门书籍，Lua程序设计第二版（中文版）(Lua Programming Introduction Book, Lua Programming (Chinese Edition))

一本关于间断有限元的入门书籍。书中有些matlab程序供学习者参考。(An entry on the discontinuous finite element books. Some matlab program book for learners to reference.)

通过列举各种实际例子，既介绍了MATLAB的一般用法，包括常用命令、语法规则、矩阵运算、数学函数及二、三维图形的绘制，又介绍了比较复杂的数值计算、图形用户界面和工具箱函数回调的编写方法。本书重点阐述了如何利用MATLAB解决化学研究中的实际问题，介绍了数值计算、绘图及优化、统计、神经网络和模糊逻辑等工具箱函数的应用；通过介绍实例和实际编写MAT—LAB程序，使读者能够熟练应用MATLAB语言实现并改进各种算法。(Through some practical examples, it introduces the general usage of MATLAB drawing, including the commonly used commands, grammar rules, matrix operations, mathematical functions, and two 3D graphics, and introduces the numerical calculation, more complex graphical user interface and the toolbox function callback writing method. This book focuses on how to use the MATLAB to solve practical problems in chemical research, introduces the application of numerical calculation, drawing and optimization, statistics, neural network and fuzzy logic toolbox function; through the introduction of practical examples and the preparation of MAT - LAB program, so that readers can skilled application of MATLAB language and improved algorithms.)