Simulink_PD_radar

清华大学的蠕虫研究资料入门级别的，教你怎么写怎么防范，清华大学的蠕虫研究资料入门级别的，教你怎么写怎么防范(Tsinghua University worm entry-level research materials, and teach you how to write how to prevent, Tsinghua University worm entry-level research materials, and teach you how to write how to prevent)

Documento de linguagem assembly utilizada em arquitetura de computadores. Em português

说明：  A document file talking bout smart grid

说明：  一个开店必备文档，里面有全国的商品批发资料，很全的。(Must document a shop, which has the country' s wholesale information is complete.)

四篇非常棒的关于LLC电源的硕士论文，每篇都是完整的，有空可以慢慢研读一下。后缀格式是.nh，请用cajviewer打开(4 great power on the LLC' s master' s thesis, Each are complete, the empty can take the time read about. Suffix format. Nh, please open the cajviewer)

DataDemon-时频分析解决方案 随着科技迅速发展，讯号分析处理者面临的是日趋庞大的计算数据量，和越来越复杂的仿真模式。如何缩短开发时间、节省研究经费、又能实现高效能、高弹性的运算平台供后续研究使用便越来越重要。 DynaDx提出DataDemon-时频分析解决方案，以组件组合的设计概念，免除繁杂程序写作方式，提供讯号处理的可视化控制组件，让处理讯号分析的过程就像拼组模型一般，使用者可依据自己的构想去组合出更多元之讯号分析呈现。不再需要从头撰写繁杂的程序代码便能使用各种讯号处理的算法，也不必将时间花在除错、评估程序运行效能，而能专注于研究目标的分析及后续应用的开发上。 (DataDemon-time-frequency analysis solutions With the rapid development of science and technology, signal analysis and processing is increasingly faced by the huge amount of data calculation, and increasingly complex simulation models. How to reduce development time, save research funding, but also to achieve high performance, flexible computing platform for subsequent research use have become increasingly important. DynaDx DataDemon-time frequency analysis proposed solutions to the design concept of component combinations, eliminating the complicated procedures written in a way to provide a visual signal processing control unit, so that the signal processing analysis process as spelled group of models in general, users can be based on their own idea to mix the signal out more element analysis presented. No longer need to write complicated code from scratch, will be able to use a variety of signal processing algorithms, nor do you have time to spend debugging, performance evaluation pro)

Power System V. K. Mehta

：介绍了独立成分分析(ICA)的基本模型及其假设、含混性、非高斯性度量和通用求解过程。讨论了目前ICA 的几个研究方向的发展现状和面临的问题，分析了ICA 基本模型和几种扩展模型的求解算法，包括盲反卷积、卷积混和的盲分离、非线性瞬时混合的盲分离。提出了ICA 未来理论和应用研究中的开放课题。(: Introduce the independent component analysis (ICA) the basic model and its assumptions, vague, non-Gaussian measurement and GM solving process. Discussion of the current ICA several research directions of the development of the current situation and the problems faced by an analysis of the basic ICA model and several extended model algorithm, including the blind deconvolution, convolution mixture of blind source separation, nonlinear transient mixed Blind Source Separation. Proposed ICA future theoretical and applied research topics in the open.)

工程领域中的格子波尔兹曼方法，很经典的书籍，内含较多的代码(Engineering fields Lattice Boltzmann Method, classic books, containing more code)

2017年行业状况及预测之后的发展，现在遇到的瓶颈，当前这方面比较好的公司，以及计算机视觉有关的领域(In 2017, the industry situation and the development after prediction, and now faced with bottlenecks, the current relatively good companies, as well as areas related to computer vision.)