WINDOWS程序设计（第五版）-CHARLES PETZOLD

说明：  Python高性能编程，本书适合初级和中级Python程序员、有一定Python语言基础想要得到进阶和提高的读者阅读。(Python High Performance Programming)

Python学习电子书经典之作，课余学习之用(Python Learning the classic books of e-books and the use of after-school learning)

机器学习实战（高清 中文版） 作者： Peter 本书通过精心排的实例切入日常工作任务摒弃学术化语言利用高效可复用的Python 代码阐释如何处理统计数据进行数据分析及可视化。读者可从中学到一些核心的机器学习算法并将其运用于某些策略性任务中如分类、预测及推荐等。本书适合机器学习相关研究人员及互联网从业人员学习参考。(Machine learning combat (HD Chinese version) Author: Peter This book cuts into everyday tasks through elaborate examples. Abandoning academic language uses efficient and reusable Python code to illustrate how to process statistics for data analysis and visualization. Readers can learn some core machine learning algorithms and apply them to certain strategic tasks such as classification, prediction, and recommendation. This book is suitable for machine learning related researchers and Internet practitioners to learn reference.)

wind turbine with DFIG simulink

a direct torque simulation of induction moteur with matlab 7.1

序自从1978年《C程序设计语言》出版以来，计算机界经历了一场革命。大型计算机变得更大；而个人计算机的能力可以和十年前的主流计算机相媲美。在这段时间中，C语言也在悄悄地改变，并且早已超出了仅仅作为UNIX操作系统的语言的范畴。(sequence since 1978 "C Programming Language" has been published, the computer industry has undergone a revolution. Large computers become bigger; But the personal computer and the ability to mainstream a decade ago comparable computer. During this period of time, C language is also quietly change, and already in excess of the UNIX operating system only as the language of the area.)

acm大赛题，(acm contest that, well good)

leach源码的说明文档,非常好,值得一看(a very good document for leach study)

基于非负矩阵分解算法进行盲信号分离(based on non-negative matrix factorization algorithm for Blind Signal Separation)

本书主要介绍模型预测控制理论与方法在无人驾驶车辆路径规划与跟踪控制方面的基础应用技术。由于模型预测控制理论数学抽象特点明显，初涉者往往需要较长时间的探索才能真正理解和掌握，进一步应用到具体研究，则需要更长的过程。(This book mainly introduces the basic application technology of model predictive control theory and method in unmanned vehicle routing planning and tracking control. Because of the obvious abstract mathematical characteristics of model predictive control theory, it often takes a long time for the novice to really understand and master. Further application to specific research requires a longer process.)