D2D_allocation

说明：  Actel 8051 Verilog core

fsk modulation Frequency shift keying (FSK) is the most common form of digital modulation in the high-frequency radio spectrum, and has important applications in telephone circuits. This article provides a general tutorial on FSK in its many forms. Both modulation and demodulation schemes will be discussed

levy频域辨识模型算法，对系统在已知模型阶次前提下进行模型辨识(levy frequency domain algorithm for identification model)

这只是一些平时的课件,如果不好,请原谅!-this is just some ordinary courseware, if not, please forgive us!

Labwindows CVI2010软件主体11，由NI公司设计的数据采集编辑软件，全部11部分下载完后处理下即可（将各个部分的Labwindows CVI2010和.ZIP扩展名全部去掉) (Software, the main body of the Labwindows CVI2010 11, designed by the NI data acquisition and editing software, all Part 11 downloads After the treatment can be (all removed to various parts of the Labwindows CVI2010. ZIP extension))

本人采用Creo Parametric 4.0 M020进行绘制。(I use Creo Parametric 4.0 M020 to draw.)

《推荐系统实践》作者：项亮；书籍全部章节配套源代码；仅供学习分享，如有侵权立刻删除。(The "source code" of Recommended system practice.)

本书是为工科高年级学生写的教科书，可以作为控制系统领域的首门课程的教材。本书详尽地论述了连续控制系统的分析和研究方法，各章节包括动态系统的数学模型、瞬态响应和稳态相应分析、根轨迹分析、控制系统设计的根轨迹法、频率响应分析、控制系统设计的频率响应法，以及PID控制与二自由度控制系统等内容。-This book is for the engineering of high-grade students to write the textbooks, can serve as a control system for the field of teaching the first door. The book discusses in detail a continuous control system analysis and research methods, including dynamic system of various sections of the mathematical model, the corresponding transient response and steady-state analysis, root locus analysis, control system design of the root locus method, frequency response analysis, control System frequency response method, as well as PID control and two degrees of freedom control system, etc..

关于Lomboz插件的例子，一个是在Eclipse3.0平台上使用StrutsIDE插件开发的Web工程，一个是在Eclipse Lomboz平台上开发的Web工程。-Lomboz plug-ins on the example of a platform in Eclipse3.0 use of the Web Plug-in Development StrutsIDE works, one is in the Eclipse Lomboz platform Web development projects.

说明：  TensorFlow 不是一个严格的“神经网络”库。只要你可以将你的计算表示为一个数据流图，你就可以使用Tensorflow。你来构建图，描写驱动计算的内部循环。我们提供了有用的工具来帮助你组装“子图”（常用于神经网络）(Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging.)