imtoken安卓客户端源码 含btc eos eth实现

计算飞机气动特性的软件的说明书，主要应用于概念设计和初步设计阶段TABLE 2AERODYNAMIC OUTPUT AS A FUNCTION OF /CONFIGURATION AND SPEED REGIME● OUTPUT A∨A| LABLED OUTPUT ONLY FOR CON FIGURATIONS WITH STRAIGHT TAPERED SURFACESA OUTPUT ONLY WITH EXPERIMENTAL DATA INPUCONFIGURATION SPEEDSTATIC AERODYN AMIC CHARACTERISTIC OUTPUTDY NAMIC STABILITY CUTPUREGIMECLSUBSONICBODYTRANSONICSUPERSONICHY PERSONICWINGTRANS0NC口▲|口「口百口SUPERSONIC●{a!口口日口HYPERSONIC口!口D口口HORIZONTALTRANS0NCa|▲▲口口|口白SUPERSONIC·a|口口口·『●|●IY PERSONICVERTICAL TAILSUBSONICOR VENTRALTRANSONIC口FINA sUPERSONIC.「百|口HY PERSONICSUBSONICWING-BODYRANSONC口口口o口SUPERSONIC●d|口HY PERSON百口HORIZONTALTRANS0NIc口口口TAIL- BOOYSUPERSONIC口口0口HY PERSONICSUBSONICVERTICAL TAILTRANSONIC口VENTRAL FIN-2 SUPERSONIC.BODY●●|●|●HYPERSONIC口w|NG-B0D￥△ SUBSONIC■口|口|口|口|a口|aaa0|口aaaaTRANSONICO|口TAILSUPERS0NC口百|百口「口。|口HYPERS0NC口口|口口口口口口SUBSON1C●VERTICAL TAILTRANS0NC▲口VENTRAL FINA SUPERSONIC●●|●●HYPERSONICING BOOYSUBSONICHORIZONTAL口日|a口口a「aa}aTRANSONIC|▲|▲▲▲口A SUPERSONIC O。|。口}口|口口|口VERTICAL TAILVENTRAL FINHYPERS0NC口口c1 THE EFFECTS OF JET POW2PELLER POWER, AND GROUND PROXIMITY MAY BE OBTAINED FOR THESE CONFIGURATIONS IF THE REQUIREDNAMELISTS ARE INPUT, THE EFFECTS OF POWER AND GROUND EFFECTS ARE INCLUDED ONLY IN THE SU!C LONGI TUDIN AL STABILITY RESULTS2 DY NAMIC STABILITY RESULTS ARE THE SAME AS WING-BODY3 TKIN VERTICAL TAIL RESULTS MAY BE OBTAINED FOR THESE CONFIGURATIONS IF THE REQUIRED NAMELIST IS INPUTTHESE EFFECTS ARE INCLUDED ONLY IN THE SUBSONIC LATERAL STABILITY DATAREFER TO DATCOM HANDBOOK FOR METHOD LIMITATIONS IF OUTPUT IS NOT OBTAINED5 AVAILABLE ONLY IN COMBINAT:ON WITH A WING OR TAILCC

用Labview写了两个基本的串口通信程序，一个是简单的读串口程序，另一个是读写串口程序，对于学习有极大的帮助。

有限状态机是一种用来进行对象行为建模的工具, FSME这个工具可以让你只需要画画状态图，就能为你生成对应的有限状态机的框架C++代码，提高你的开发效率。压缩包里是程序的源代码和相关文档。

用matlab实现离散时间傅里叶变换DTFT 和离散傅里叶变换DFT。实验目的：1、深刻理解离散时间信号傅里叶变换（DTFT）的定义，与连续傅里叶变换之间的关系；2、深刻理解序列频谱的性质（连续的、周期的等）；3、能用MATLAB编程实现序列的DTFT，并能显示频谱幅频、相频曲线；4、深刻理解DFT的定义、DFT谱的物理意义、DFT与DTFT之间的关系；5、能用MATLAB编程实现有限长序列的DFT；6、熟悉循环卷积的过程，能用MATLAB编程实现循环卷积运算

PCA主成分分析实现方法Matlab；详细请查看博客资料：http://blog.csdn.net/guyuealian/article/details/68487833

【实例简介】智嵌物联STM32F407VET6板子原理图（包括原理图库和PCB库）

5G无线通信系统关键技术（剑桥大学出版社） 2017年出版 对于5G所有最新技术进行了详细说明 很全的工具书Key Technologies for5G Wireless SystemsVINCENT W. S, WONGUniversity of British ColumbiaROBERT SCHOBERUniversity of Erlangen-NurembergDERRICK WING KWAN NGUniversity of New South WalesLI-CHUN WANGNational Chiao-Tung University即CAMBRIDGEUNIVERSITY PRESSCAMBRIDGEUNIVERSITY PRESSUniversity Printing House. Cambridge CB2 SBS. United KindomOne Liberty Plaza, 20h Floor New York, NY I(H0X, USA477 williamstown Road, port Melbourne, yic 3207 australia48424, 2nd Floor, Ansar Rod, Daryaganj. Delhi- I l4XH2, India79 Anson Road, #o6-(/ 00, Singapore 079%MCambridge University Press is part of the Lniversity of CambridgeIt furthers the University s mission by disseminating knowledge in the pursuit ofeducation, leaming and research at the highest international levels of excellence.www.cermbrid吧eInformtiononthistitlewww.cambridgeorg/978110713241810,1017③781316771655C Cambridge University Press 2017This puhlication is in copyright. Subjcct to sututonry exceptionand to the provisions of relewant collective licensing agreementsno reproduction of any part may take place without the writtenpermission of Cutmbridgre University Press.First published 2(117Printed in the United Kingdom by TJ International Ltd. Padstow, CornwallA catalogue recor for this pudlieafiove is aailable fromm the British LibraryLibrary of Congress Cataloging- in Pi hlicaiomz dataNames: Wong, Vincent W.S., editorTitle: Key technologies for 5G wireless systems/edited by Vincent W.S. Wong [and 3 otherOther titles key technologies for five g wireless svstemsDescription: Carmbrisige: New York, NY: Cambridge Lniversity Press, 2017.Identifiers: l CCN 2016045220)1 ISBN 9781 172418 (hardback)Subjects: LCSH: Wireless communication systems, I Machine-to-machinecommunications. Internet of things.Classitication: LCC TKs1032K49 2(17 DDC 621.38450-dc23LcrecordavailaBleathttps://lccnioc-gov/2016m5220)ISBN 978-1-107-17241- HardbackCambridge University Press has no responsibility for the persistence or accuracy ofURLs for extermal or third-party Internet websites referred to in this puhlication,and does not guarantee that any content on such websites is, or will remainaccurate of appropriateContentsList of Contributorspage xvIPrefaceKXIOverview of New Technolog ies for 5G SystemsVincent W S, Wong, Robert Schober, Derrick Wing Kwan Ng, and Li-Chun Wang1.1 Introduction1.2 Cloud Radio Access Networks1.3 Cloud Computing and Fog Computing1. 4 Non-orthogonal Multiple Access1. 5 Flexible Physical Layer Design334.4671. 6 Massive MIMo1. 7 Full-Duplex Communications1. 8 Millimeter wave1.9 Mobile Data Offloading, LTE-Unlicensed, and Smart Data Pricing131. 10 IoT M2M. and D2D1. I1 Radio Resource Management, Interference Mitigation, and Caching61. 12 Energy Harvesting Communications1. 13 Visible Light Communication19Acknowledgments20ReferencesPart I Communication Network Architectures for 5G Systems25Cloud Radio Access Networks for 5G Systems27Chih-Lin I, Jinn Huang, Xueyan Husang, Rongwved Ren, and Yami. Chen2.1 Rethinking the Fundamentals for 5G Systems272 User- Centric Networks2923 C-RAN Basics292.3.1 C-RAN Challenges Toward SGI302.4 Next Generation Fronthaul Interface (NGFI: The FH Solutionfor SGC-RAN312. 4.1 Proof-of-Concept Development of NGFI33Contents2.5 Proof-of-Concept Verification of Virtualized C-RAN2.5.1 Data packets3725.2 Test Procedure382.5.3 Test Results392. 6 Rethinking the Protocol Stack for C-RAN2.6.1 Motivation402.6.2 Multilevel Centralized and Distributed Protocol Stack402.7 Conclusion45AcknowledgmentsReferencesFronthaul-Aware Design for Cloud Radio Access Networks48Liang Liu, Wei Yu, and Osvaldo Simeone3. 1 Introduction483.2 Fronthaul-Aware Cooperative Transmission and Reception493. 2.1 Uplink513.2.2 Downlink573.3 Fronthaul-Aware Data Link and Physical layers61.3. I Uplink633.3.2 Downlink693.4 Conclusion73Acknowledgments74References74MobEdge computing76Ben Liang4.1 Introduction764.2 Mobile Edge Computing774.3 Reference architecture794.4 Benefits and Application Scenarios804 4.1 User-Oriented Use cases4. 4.2 Operator-Oriented Use Ca814 5 Research challenges824.5.1 Computation Offloading824.5.2 Communication Access to Computational Resources834.5.3 Multi-resource Schedulin844.5 4 Mobility Management854.5.5 Resource Allocation and Pricing4.5.6 Network functions virtualization864.5, 7 Security and Pri864.5.8 Integration with Emerging Technologies874.6 Conclusion88ReferencesContentsDecentralized Radio Resource Management for Dense HeterogeneousWireless networksAbolfazl Mehhodniya and Fumiyuki Adach5.1 Introduction925.2 System Model935.2.1 SINR Expression5.2.2 Load and Cost Function Expressions955.3 Joint BSCSA/UECSA ON/OFF Switching Scheme965.3.1 StrateTy Selection and Beacon Transmission53.2 UE AssocIation5.3.3 Proposed Channel Segregation Algorithms985.3.4 Mixed-Strategy Update3.4 Computer Simulation5.5 Conclusion104Acknowledgments04References105Part ll Physical Layer Communication Techniques107Non-Orthogonal Multiple Access(NOMA)for 5G Systems109Wei Llang, Zhiguo Ding, and H. Vincent Poor6.1 Introduction1106.2 NOMA in Single-Input Single-Output(SISO)Systems1126.2.1 The basics of nomaI126. 2. 2 Impact of User Pairing on NOMA136.2,3 Cognitive Radio Inspired NOMA6. 3 NOMA in MIMO Systems1206.3.1 System Model for MIMO-NOMA Schemes1216.3.2 Design of Precoding and Detection Matrices with Limited CSIT 1236.3.3 Design of Precoding and Detection Matrices with Perfect CSIT 1266.4 Summary and Future Directions128ReferencesFlexible Physical Layer Design133Maximilian Matthe, Martin Danneberg, Dan Zhang, and Gerhard Fettweis7.1 Introduction1337. 2 Generalized Frequency Division Multiplexing357.3 Software-Defined waveform1377. 3. 1 Time Domain Processing1387.3.2 Implementation Architecture1387.4 GFDM Receiver Design14174 Synchronization unit1427. 4.2 Channel Estimation Unit1474.3 MIMo-GFDM Detection Unit145Contents7.5 Summary and Outlook147Acknowledgments148References488Distributed Massive MIMO in Cellular Networks15IMichail Matthaiou and Shi Jin8. I Introduction15l8. 2 Massive MIMO: Basic Principles1528.2.1 Uplink Downlink Channel Models1538.2.2Favorable Propagation1548.3 Performance of Linear Receivers in a Massive MIMO Uplink1548.4 performance of linear precoders in a massive mimo downlink1578. s Channel estimation in massive mimo systems1588.5.1 Uplink Transmission1598.5.2 Downlink Transmission1608.6 Applications of Massive MIMO Technology1618.6.1 Full-Duplex Relaying with Massive Antenna Arrays1618.6.2 Joint Wireless Information Transfer and Energy Transfer forDistributed massive mimo1638.7 Open Future Research Directions1678. 8 Conclusionl68References169Full-Duplex Protocol Design for 5G Networks172Tanelf Ahonen and Risto wichman9.1 Introduction1729. 2 Basics of Full-Duplex Systems1739.2.1 In-Band Full-Duplex Operation Mode1739.2.2 Self-Interference and Co-channel Interference1749.2.3 Full-Duplex Transceivers in Communication Links1759. 2. 4 Other Applications of Full-Duplex Transceivers1789.3 Design of Full-Duplex Protocols1799.3, 1 Challenges and Opportunities in Full-Duplex Operation1799.3.2 Full-Duplex Communication Scenarios in 5G NetworksR9.4 Analysis of Full-Duplex Protocols1829.4.1 Operation Modes in Wideband Fading Channels1829. 4, 2 Full- Duplex Versus Half-Duplex in Wideband Transmission1849.5 Conclusion1849.5.1 Prospective Scientific Research DirectionsI849.5.2 Full-Duplex in Commercial 5G Networks185RLItrtncekl8610Millimeter Wave Communications for 5G Networks188Jiho Song, Miguel R Castellanos, and David J. LoweContentsⅸx10.1 Motivations and Opportunities18810.2 Millimeter Wave Radio Propagation18910. 2.1 Radio Attenuation1890. 2. 2. Free-Space Path LOSs19I10.2.3 Severe shadow19310.2 4 Millimeter Wave Channel model19310.2.5 Link Budget Analysis19410.3 Beamforming Architectures19510.3, Analog beamforming solutions19610.3.2 Hybrid Beamforming Solutions20010.3.3 Low-Resolution Receiver Architecture2010.4 Channel Acquisition Techniques20110.4.1 Subspace Sampling for Beam Alignment20210.4.2 Compressed Channel estimation Techniques20510.5 Deployment Challenges and Applications20710.5.1 EM Exposure at Millimeter Wave Frequencies20710.5.2 Heterogeneous and Small-Cell Networks208Acknowledgments209References209Interference Mitigation Techniques for Wireless Networks214Koralia N Pappi and George K, Karag annidis1 1.1 Introduction21411.2 The Interference Management Challenge in the 5G vision21411. 2. 1 The 5G Primary Goals and Their Impact on Interference2141 1.2.2 Enabling Technologies for Improving Network Efficiencyand Mitigating Interference21611.3 Improving the Cell-Edge User Experience: Coordinated Multipoint218I 1.3.1 Deployment Scenarios and Network Architecture2181 13. 2 CoMP Techniques for the Uplink22011.3.3 CoMP Techniques for the Downlink2211 1.4 Interference Alignment: Exploiting Signal Space Dimensions2231 1.4.1 The Concept of Linear Interference Alignment224L1. 4.2 The Example of the X-Channel225I 1. 4.3 The K-User Interference Channel and Cellular NetworksAsymptotic Interference Alignment22611.4.4 Cooperative Interferenee Networks22711.4.5 Insight from IA into the Capacity Limits of Wireless Networks 22711.5 Compute-and-Forward Protocol: Cooperation at the ReceiverSide for the Uplink22811.5.1 Encoding and Decoding of the CoF Protocol22811.5.2 Achievable-Rate Region and Integer Equation Selection23011.5.3 Advantages and Challenges of the CoF Protocol232IL6 Conclusion233References233

这是基于ZYNQ HLS图像处理算法的资料 详细的中文介绍 可以参考一下

RTCM解码

级别：入门级。在VC++2010用ADO方法在ACCESS2010数据库中增加、删除和修改记录。【要在机器中安装Microsoft.ACE.OLEDB.12.0引擎，网上有下载的】。本实例参照清华大学出版社的《Visual C++范例开发大全》，ISBN: 978-7-302-22624-6，作者: 陈国建. 等编著，版次: 2010年7月第1版。本实例参照如下的章节改编出来的：11.1 数据库操作访问技术实例 402实例253 使用DAO建立Access数据库文件 402实例254 使用ADOX建立Access数据库文件 404实例255 使用ADO添加数据库记录 407实例