2016-Python-Real World Machine Learning

文章简述了OFDM系统，分析了多径传输时延以及加入信道编码之后的误码率。(The article outlines the OFDM system, an analysis of multi-path delay and channel coding, after adding the error rate.)

非常详细的NURBS书籍，进行轨迹规划用得上。(NURBS)

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齐全的Window API,VC、VB、CB等都可用到的。(complete Window API, VC, VB, CB so available to.)

说明：  超级经典的ALLEGRO SI仿真教程，CADENCE原版的，ALLEGRO SI仿真难学，有了这个教程，学习不再难，讲的很详细。(Super classic ALLEGRO SI simulation tutorial, CADENCE original edition, ALLEGRO SI simulation difficult to learn, with this tutorial, learning is no longer difficult to talk in great detail.)

适用于ANSYS的初学者，很基础很全面很实用的实例教程资料(beginners information of ANSYS)

嵌入式系统设计师软考复习资料，网上收集到的，上传分享给大家(The embedded system designer software review)

说明：  本书共有43章，内容涵盖常见的神经网络（BP、RBF、SOM、Hopfield、Elman、LVQ、Kohonen、GRNN、NARX等）以及相关智能算法（SVM、决策树、随机森林、极限学习机等）。同时，部分章节也涉及了常见的优化算法（遗传算法、蚁群算法等）与神经网络的结合问题。此外，本书还介绍了MATLAB R2012b中神经网络工具箱的新增功能与特性，如神经网络并行计算、定制神经网络、神经网络高效编程等(This book consists of 43 chapters, covering common neural networks (BP, RBF, SOM, Hopfield, Elman, LVQ, Kohonen, GRNN, NARX, etc.) and related intelligent algorithms (SVM, decision tree, random forest, extreme learning machine, etc.). At the same time, some chapters also involve the combination of common optimization algorithms (genetic algorithm, ant colony algorithm, etc.) and neural networks. In addition, the book also introduces the new functions and characteristics of the neural network toolbox in MATLAB R2012b, such as parallel computing of neural networks, customized neural networks, efficient programming of neural networks, etc)

详细介绍了分布式系统设计(details of the Distributed System Design)

说明：  逆合成孔径雷达成像（附MATLAB源代码） Inverse Synthetic Aperture Radar Imaging__ With MATLAB Algorithms 作者CANER ?ZDEMIR, PhD 本书提供了充分的代表性逆合成孔径雷达（ISAR）成像，并给出了文中具体算法的仿真程序。(Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms By CANER OZDEMIR PhD)