WinCC_V7.3_系统手册

如何在首页显示当前的让你的主页能够自动识别来访者使用的浏览器； 一种一条一条显示信息的跑马灯； 自动滚屏并不一定需要Dhtml，到这里看看喔！ 在页面上提供向前，向后翻页的按钮。 告诉来访者在本页面停留的时间，作用好坏你判断吧！ 请来客登记姓名，统计来访次数。等等 ，还有很多很多原码等着你来看哦~(Home show the current home page you can automatically identify visitors to use the browser; One shows a message of a 5,250; Auto Scroll Dhtml not necessarily need to see here! The pages provide forward and backward scrolling button. Tell visitors stay in the pages of time, the role of good or bad judgment you! Invited guests registered to the name, the number of visitors statistics. And so on and many source waiting for you to look at oh)

电子工业出版社.无线通信系统仿真--C++实用模型(Electronics Industry Publishing House. Wireless communication system simulation- C++ Utility Model)

text book for Vibration Problems in Engineeing (Timoshenko)

打印机的详细说明,包括硬件电路和程序,特别好的是还附有详细的C语言解释,对于具有一定单片机基础的人可以迅速上手,对于初学者,对着注释也能上手.(A detailed description of the printer, including hardware and procedures, in particular good is also accompanied by a detailed explanation of the C language, for a certain person based on single-chip can be quickly started, for beginners, can start at the Notes.)

《算法导论中文版》非常好的算法方面的书籍("Introduction to Algorithms Chinese version of" very good books on the algorithm)

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.)

J.B.Rawlings and D.Q.Mayne所著的 模型预测控制的理论和设计(Model Predictive control: Theory and Design)

一本非常经典的数字语音信号处理的教材，此为英文版。(Digital speech signal processing)

说明：  c++经典教程，谭浩强，c语言，经典c语言教程(C + + classic course, Tan Haoqiang, C language, classic C language course)

通过Python，Theano和Tensorflow，掌握数据科学和机器学习(Master Data Science and Machine Learning with Modern Neural Networks written in Python, Theano, and TensorFlow)