EXCEL集成系统使用说明

学习MIMO的入门课件！能够很快的了解MIMO的原理！写的很详细！(MIMO-entry learning courseware! Be able to quickly understand the principle of MIMO! Written in great detail!)

说明：  我在惠普公司，从助理工程师到高级工程师，从市场部经理到市场总监，从助理总裁到首席知识官，到公司决策委员会成员，成为为数不多的进入大型跨国公司中国区高层的本地管理人员之一，有幸感受到惠普公司高效而又人性化的管理。(I said in my Hewlett-Packard, from assistant engineer to engineer, from Marketing Manager to Marketing Director, from the Executive Director to the Chief Knowledge Officer, to the corporate decision-making members of the Committee, becoming one of the few large multinational companies to enter China, the highest level of local management staff, one of Hewlett-Packard had the privilege to feel humane and highly effective management.)

本文件为PPT模板，简洁大气，实用美观，条理清晰，希望可以美化您的报告。(This document is PPT templates, simple atmosphere, practical and beautiful, clear, I hope you can beautify your report.)

Mobile Broadband Wireless WAN_Qualcomm PDF

说明：  visual C ++ ebook for programmer

这本书涵盖了UC Berkeley秋季的算法课程“Algorithm In The Real World”的各种算法笔记。其中包括压缩算法，密码算法，N-boby模拟，生物学匹配模式，索引和聚类等。是一本比较全面的介绍算法在实际世界中相关应用的书。(This book covers the fall of the algorithm UC Berkeley course " Algorithm In The Real World" notes a variety of algorithms. These include compression algorithms, cryptographic algorithms, N-boby simulation, biology matching pattern, index, and clustering and so on. Is a more comprehensive introduction to the relevant algorithms in the real world application of the book.)

本书不仅回顾了通信信号处理的经典研究领域，如自适应均衡、信道建模和识别、多用户检测和阵列处理，而且分析研究了一些新领域，如自适应编码调制、多输入多输出（MIMO）系统、分集合并和时频分析。此外，本书还探讨了神经网络、蒙特卡洛马尔可夫链和混沌等新兴技术，并对未来移动通信具有发展前途的方法进行了很好的概括性阐述。(The book investigates classical SP areas such as adaptive equalization, channel modeling and identification, multi-user detection, and array processing. It also investigates newer areas such as adaptive coded modulation, multiple-input multiple-output (MIMO) systems, diversity combining, and time-frequency analysis. It explores emerging techniques such as neural networks, Monte Carlo Markov Chain (MCMC) methods, and Chaos. It offers an excellent tutorial survey of promising approaches for future mobile communications such as cross-layer design in multi-access networks and adaptive wireless networks.)

ucGui的中文教程，推荐移植ucGui前学习下(ucGui Chinese Tutorial)

说明：  统计学习是计算机及其应用领域的一门重要的学科本书全面系统地介绍了统计学习的主要方法，特别是监督学习方法，包括感知机、K近邻法、朴素贝叶斯法、决策树、逻辑斯谛回归、与最大熵模型、支持向量机、提升方法、EM算法、隐马尔可夫模型和条件随机场等。(Statistical learning is an important subject in the field of computer and application of this book comprehensively systematically introduces the main methods of statistical learning, especially the supervision method of study, including the perception, K neighbor method, naive bayesian method, decision tree, logistic regression, and the maximum entropy model, support vector machine (SVM), promotion methods, the EM algorithm, the hidden markov model and conditional random field, etc.)

one exercise from icarnegie ssd1