Making Games with Python & Pygame

基于ansys的车桥耦合分析，对于车辆对桥梁挠度、加速度的影响模拟(Vehicle bridge coupling analysis based on ANSYS)

NS2入門指導 有助于初学者了解NS2，真的对新手有所帮助(Getting Started guide will help beginners understand the NS2, really help the novice)

GBT_17626.4-2008_电磁兼容_试验和测量技术_电快速瞬变脉冲群抗扰度试验.pdf(GBT_17626.4-2008_ _ EMC test and measurement techniques _ electrical fast transient burst immunity test)

说明：  本书采用大量图片，通过详细的分步讲解，以直观、易懂的方式展现了7个数据结构和26个基础算法的基本原理。第1章介绍了链表、数组、栈等7个数据结构；从第2章到第7章，分别介绍了和排序、查找、图论、安全、聚类等相关的26个基础算法，内容涉及冒泡排序、二分查找、广度优先搜索、哈希函数、迪菲 - 赫尔曼密钥交换、k-means 算法等。 本书没有枯燥的理论和复杂的公式，而是通过大量的步骤图帮助读者加深对数据结构原理和算法执行过程的理解，便于学习和记忆。将本书作为算法入门的第一步，是非常不错的选择。(This book uses a large number of pictures, through detailed step-by-step explanation, in an intuitive and easy to understand way to show the basic principles of 7 data structures and 26 basic algorithms. Chapter 1 introduces seven data structures such as linked list, array and stack; from Chapter 2 to Chapter 7, 26 basic algorithms related to sorting, searching, graph theory, security and clustering are introduced respectively, including bubble sorting, binary searching, breadth first search, hash function, Diffie Herman key exchange, K-means algorithm, etc. This book does not have boring theory and complex formula, but through a large number of step diagrams to help readers deepen the understanding of data structure principle and algorithm execution process, easy to learn and remember. This book as the first step of the algorithm, is a very good choice.)

This classroom-tested and easy-to-understand textbook/reference describes the state of the art in 3D reconstruction from multiple images, taking into consideration all aspects of programming and implementation. Unlike other computer vision textbooks, this guide takes a unique approach in which the initial focus is on practical application and the procedures necessary to actually build a computer vision system.

雷达信号理论(林茂庸著） (Radar signal processing by Maoyong Lin)

说明：  模拟电子技术的课件，感觉挺有用的，一些基本的理论知识(Analog electronics technology courseware, I feel quite useless, some basic theoretical knowledge)

说明：  神经网络是一种模拟人脑的神经网络，以期能够实现类人工智能的机器学习 技术。 本书揭示神经网络背后的概念，并介绍如何通过Python实现神经网络。全书 分为3章和两个附录。第1章介绍了神经网络中所用到的数学思想。第2章介绍使 用Python实现神经网络，识别手写数字，并测试神经网络的性能。第3章带领读 者进一步了解简单的神经网络，观察已受训练的神经网络内部，尝试进一步改善 神经网络的性能，并加深对相关知识的理解。附录分别介绍了所需的微积分知识 和树莓派知识。 本书适合想要从事神经网络研究和探索的读者学习参考，也适合对人工智 能、机器学习和深度学习等相关领域感兴趣的读者阅读。(Python Neural Network Programming)

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说明：  北航《系统辨识与自适应控制MATLAB仿真》(Beihang "system identification and adaptive control Mtalab simulation" example source code)