双馈风力发电系统的建模仿真与控制

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说明：  《无线通信》重点论述当前各类无线通信系统中具有普遍性和代表性的基本知识，包括基本的理论、问题、设计思路和分析方法。全书内容包括无线信道模型、无线信道容量、无线通信中的调制编码技术及均衡处理技术、扩频通信，还包括多天线系统、多用户系统、多载波调制、自适应调制与编码、蜂窝系统及无线自组织网络等。书中每部分内容的讲述都有全新的视角和独特的处理方法，并配合丰富的图示、例题和习题。 《无线通信》适合作为通信工程和电子信息类相关专业高年级本科生和研究生的教材，同时也可供工程技术人员参考。(Wireless Communication focuses on the basic knowledge of universality and representativeness in current wireless communication systems, including basic theories, problems, design ideas and analysis methods. The book includes wireless channel model, wireless channel capacity, modulation and coding technology in wireless communication, equalization processing technology, spread spectrum communication, and also includes multi-antenna system, multi-user system, multi-carrier modulation, adaptive modulation and coding, cellular system and wireless self-organizing network. Each part of the book has a new perspective and unique treatment methods, and with rich graphics, examples and exercises. Wireless Communication is suitable for senior undergraduate and graduate students majoring in communication engineering and electronic information. It can also be used as a reference for engineers and technicians.)

说明：  LED, as you can see,

说明：  研究生系列教材，多传感器信息融合及其应用，杨万海(Multi-sensor information fusion and its application)

经典的C++编程资料，有助于建立面对对象的编程习惯(Classical C++ Programming book)

matlab program编程英文影印版(photocopy of the English version of programmed matlab program)

说明：  中文版，详细介绍Cx51语言，很不错。值得学习和收藏。(Chinese version, detailed introduction of Cx51 language, very good. It is worth learning and collecting.)

说明：  C++ Primer Plus中文版第六版 C++入门必读经典(C++ Primer Plus 6th edition(Chinese) the best textbook to introduce C++.)

Python数据挖掘入门与实践 本书作为数据挖掘入门读物，介绍了数据挖掘的基础知识、基本工具和实践方法，通过循序渐进地讲解算法，带你轻松踏上数据挖掘之旅。本书采用理论与实践相结合的方式，呈现了如何使用决策树和随机森林算法预测美国职业篮球联赛比赛结果，如何使用亲和性分析方法推荐电影，如何使用朴素贝叶斯算法进行社会媒体挖掘，等等。本书也涉及神经网络、深度学习、大数据处理等内容。本书面向愿意学习和尝试数据挖掘的程序员。(Introduction and practice of Python data mining As a primer on data mining, this book introduces the basic knowledge, basic tools and practical methods of data mining. By step-by-step explanation of the algorithm, you can easily embark on the journey of data mining. This book uses a combination of theory and practice, showing how to use the decision tree and random forest algorithm to predict the results of the American professional basketball league game, how to use the affinity analysis method to recommend movies, how to use the naive Bayesian algorithm for social media mining ,and many more. This book also covers neural networks, deep learning, big data processing and more. This book is for programmers who are willing to learn and experiment with data mining.)

有关进程注入的方法的小结，对初学者有很大的帮助。(The process approach into the summary, very helpful for beginners.)