作者:Professor Kwang-Cheng Chen,Professor Ramjee Prasad 出版:Wiley 2009 目录 Preface xi 1 Wireless Communications 1 1.1 Wireless Communications Systems 1 1.2 Orthogonal Frequency Division Multiplexing (OFDM) 3 1.2.1 OFDM Concepts 4 1.2.2 Mathematical Model of OFDM System 5 1.2.3 OFDM Design Issues 9 1.2.4 OFDMA 21 1.3 MIMO 24 1.3.1 Space-Time Codes 24 1.3.2 Spatial Multiplexing Using Adaptive Multiple Antenna Techniques 27 1.3.3 Open-loop MIMO Solutions 27 1.3.4 Closed-loop MIMO Solutions 29 1.3.5 MIMO Receiver Structure 31 1.4 Multi-user Detection (MUD) 34 1.4.1 Multi-user (CDMA) Receiver 34 1.4.2 Suboptimum DS/CDMA Receivers 37 References 40 2 Software Defined Radio 41 2.1 Software Defined Radio Architecture 41 2.2 Digital Signal Processor and SDR Baseband Architecture 43 2.3 Reconfigurable Wireless Communication Systems 46 2.3.1 Unified Communication Algorithm 46 2.3.2 Reconfigurable OFDM Implementation 47 2.3.3 Reconfigurable OFDM and CDMA 47 2.4 Digital Radio Processing 48 2.4.1 Conventional RF 48 2.4.2 Digital Radio Processing (DRP) Based System Architecture 52 References 58 3 Wireless Networks 59 3.1 Multiple Access Communications and ALOHA 60 3.1.1 ALOHA Systems and Slotted Multiple Access 61 3.1.2 Slotted ALOHA 61 3.1.3 Stabilised Slotted ALOHA 64 3.1.4 Approximate Delay Analysis 65 3.1.5 Unslotted ALOHA 66 3.2 Splitting Algorithms 66 3.2.1 Tree Algorithms 67 3.2.2 FCFS Splitting Algorithm 68 3.2.3 Analysis of FCFS Splitting Algorithm 69 3.3 Carrier Sensing 71 3.3.1 CSMA Slotted ALOHA 71 3.3.2 Slotted CSMA 76 3.3.3 Carrier Sense Multiple Access with Collision Detection (CSMA/CD) 79 3.4 Routing 82 3.4.1 Flooding and Broadcasting 83 3.4.2 Shortest Path Routing 83 3.4.3 Optimal Routing 83 3.4.4 Hot Potato (Reflection) Routing 84 3.4.5 Cut-through Routing 84 3.4.6 Interconnected Network Routing 84 3.4.7 Shortest Path Routing Algorithms 84 3.5 Flow Control 89 3.5.1 Window Flow Control 89 3.5.2 Rate Control Schemes 91 3.5.3 Queuing Analysis of the Leaky Bucket Scheme 9
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Neural_Networks_for_Applied_Sciences_and_Engineering,学习神经网络的资料
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国外经典的教课书,从国外网站下载的。是通信专业的课的经典教科书。
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ImageNet classification with deep convolutional neural networks 中文翻译
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About This Book Build your own low-power, wireless network using ready-made Arduino and XBee hardware Create a complex project using the Arduino prototyping platform A guide that explains the concepts and builds upon them with the help of examples to form projects Who This Book Is For This book is targeted at embedded system developers and hobbyists who have some working knowledge of Arduino and who wish to extend their projects using wireless connectivity.
2020-02-04 03:13:09 2.66MB Building Wireless Sensor Networks
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提供了Neural networks and deep learning这本书所有的章节pdf版内容。另外,读者如果想要书中源代码,可以从https://github.com/mnielsen/neural-networks-and-deep-learning下载。
2020-01-29 03:02:27 5.54MB 机器学习 深度学习 神经网络
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贝叶斯网络的R语言实现,贝叶斯网络的R语言实现,贝叶斯网络的R语言实现,贝叶斯网络的R语言实现,贝叶斯网络的R语言实现。
2020-01-25 03:10:59 1.44MB 贝叶斯网 R语言 DBN
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两年一度的计算机视觉国际顶级会议 International Conference on Computer Vision(ICCV 2017)在意大利威尼斯开幕。Google Brain 研究科学家Ian Goodfellow在会上作为主题为《生成对抗网络(Generative Adversarial Networks)》的Tutorial 最新演讲, 介绍了GAN的原理和最新的应用。
2020-01-18 03:30:25 26.42MB 机器学习
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经典图书,有大量实例,方便学习; Bayesian Networks With Examples in R
2020-01-03 11:39:28 2.03MB R语言 机器学习
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无线传感器网络 传感器 无线 传感器网络 2011 最新的 英文原版 无线传感器网络 书籍
2020-01-03 11:38:58 2.04MB 无线传感器网络 传感器 无线
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