Verilog HDL数字设计与综合 夏宇闻译（第二版）

说明：  多传感器信息融合及应用，是信息融合技术的经典著作之一(Multi-sensor information fusion and application, is one of the classic works of information fusion technology)

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)

一个不错的比较，推荐！(a good comparison, the recommended!)

说明：  逆合成孔径雷达成像（附MATLAB源代码） Inverse Synthetic Aperture Radar Imaging__ With MATLAB Algorithms 作者CANER ?ZDEMIR, PhD 本书提供了充分的代表性逆合成孔径雷达（ISAR）成像，并给出了文中具体算法的仿真程序。(Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms By CANER OZDEMIR PhD)

课程设计还有报告，我自己做的，关于图书馆里系统(ok)

pcb布线技巧内含6张pdf，讲述数字模拟混合布线技巧(pcb routing technique includes six pdf, talk about digital and analog hybrid routing technique)

Mastering Oracle SQL By Alan Beaulieu, Sanjay Mishra Publisher : O Reilly Pub Date : April 2002 ISBN : 0-596-00129-0 Pages : 336 Slots : 1(Mastering Oracle SQL By Alan Beaulieu, Sanjay Mishra Publisher: O Reilly Pub Date: April 2002 ISBN: 0-596-00129-0 Pages: 336 Slots: 1)

C语言进阶书籍，可做为参数手册使用，内容详细，需要有编程基础(advanced c programing language book)

说明：  图文并茂，通俗易懂的算法书籍，学习算法的不错书籍(Algorithm books with pictures and texts, easy to understand, and good books for learning algorithms)

说明：  《深度学习》由全球知名的三位专家Ian Goodfellow、Yoshua Bengio 和Aaron Courville撰写，是深度学习领域奠基性的经典教材。全书的内容包括3个部分：第1部分介绍基本的数学工具和机器学习的概念，它们是深度学习的预备知识；第2部分系统深入地讲解现今已成熟的深度学习方法和技术；第3部分讨论某些具有前瞻性的方向和想法，它们被公认为是深度学习未来的研究重点。(Deep learning, written by three famous experts in the world, is a classic textbook in the field of deep learning. The book consists of three parts: the first part introduces the basic mathematical tools and the concept of machine learning, which are the preparatory knowledge of deep learning; the second part systematically explains the mature deep learning methods and technologies; the third part discusses some forward-looking directions and ideas, which are recognized as the future research focus of deep learning.)