精通Matlab与C C++ 混合程序设计 第2版

编译原理与实践 Compiler construction principles and practice ,Kenneth c.louden 的书,一本很好的学习编译原理的书,里面包含的全书所有重点内容的课件,还有tiny compiler的源码(compiler theory and practice Compiler construction principle s and practice, Kenneth c.louden book, a good learning compiler theory, the book which contains all the key elements in the book of courseware, There tiny compiler source code)

这是用AVR8位单片机控制语言芯片发音的一个指南，有参考价值(AVR8-bit microcontroller chip control language pronunciation of a guide, a reference value)

programming principles and patterns

关于EPM570T和CH365的PCI和CPLD的PCB图

C++入门书籍之一，使用如初学者更好地理解c++(One of the C++ introductory books, using a better understanding of c++, such as a beginner.)

file system source code

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.)

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说明：  Effective Modern C++完整版,内容为C++11和C++14(Effective Modern C ++ full version with C ++ 11 and C ++ 14)

说明：  基于核主成分分析法的GA_BP神经网络短期用电负荷预测，很不错的文章研究遗传算法，BP神经网络，核主成分(GA_BP Neural Network Based on Kernel Principal Component Analysis (KPCA) for short-term load forecasting. This paper studies genetic algorithm, BP Neural Network and Kernel Principal Component.)