NetCDF格式转换TIFF-以全球GIMMS3g-NDVI数据为例

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一个基于QT5且简单易懂的TCP通信例程，包括客户端和服务器的实现

亲测有效，origin出现demo水印可以去除，，，，，，，，，，，，，，，，，

ICT ATE FCT测试必备强软，懂的进

利用PSO训练BP神经网络的MATLAB源码,加入数据即可运行。

利用opencv开发的车道检测和车辆识别代码。包含源代码、目的代码、演示视频。

GNSS-SDR is an open-source GNSS software receiver freely available to the research community. This project provides a common framework for GNSS signal processing which can operate in a variety of computer platforms. This tool is intended to foster collaboration, increase awareness, and reduce develoContentsMain Page1.1 Contents1.2 Overview1.3 Building GNSS- SDR2351.3.1 Debug and release builds1.3.2 Updating GNSS-SDR1.4 Using GNSS-SDR51.5 Control plane1.5.1 Configuration61.5.2 GNSS block factory1.6 Signal Processing plane1.6.1 Signal Source1.6.2 Signal Conditioner1.6.3 Channel1.6.3.1 Acquisition1.6.3.2 Tracking101.6.3.3 Decoding of the navigation message11.6.4 Observables121.6.5 Computation of Position, velocity and Time121.7 About the software license1.8 Publications and Credits131.9 Ok. now what?14CONTENTS2 Reference Documents152.1 Interface Control Documents152.1.1GPs2.1.2 GLONASS152.1.3Gai152.1.4 beiD2.1.5 Satellite Based Augmentation Systems(SBAS)2.2 Other Standards2.2.1R|NEX172.2.2 NMEA22.3KML.2.2.4 C++ Standards182.2.5 Positioning protocols in wireless communication networks183 Signal model193. 1 GNSS signal model1.1 Global Positioning System(GPS)signal in space3.1.2 GLONASS signal in space3.1.3 Galileo signal in space223.1.4 Reference254 Todo list5 Hierarchical Index5.1 Class Hierarchy6 Class Index336.1 Class list7 File Index7.1 File list43CONTENTS8 Class docu8. 1 AcquisitionInterface Class Reference538.1.1 Detailed Description8.2 ArraySignal Conditioner Class Reference8.2.1 Detailed Dtio558.2.2 Constructor& Destructor Documentation8.2.2. 1 Array SignalConditioner(Configurrface configuration, std: shared_ptr data type_adapt, std: shared_ptr< GNSSBlockInterfaceil, std: shared ptr< GNSSBlockInterface > res, std: string role, std: stringimplementation)558. 2.2.2 Array SignalConditioner(558.2.3 Member Function Documentation8.2.3. 1 implementation(558.3 beamformer Class Reference568.3. 1 Detailed Description8. 4 Beamformer Filter Class Reference568.4.1 Detailed description578.4.2 Member Function Documentation8. 4.2.1 implementation()8.5 byte x2 to complex byte Class Reference8.5.1 Detailed Description588.6 Byte ToShort Class Reference588.6. 1 Detailed description8.6.2 Member Function Documentation8.6.2. 1 implementation(598.7 Channel Class Reference598.7.1 Detailed description608.7.2 Constructor Destructor Documentation8.7. 2.1 Channel(ConfigurationInterface *configuration, unsigned int channel, std+shared_ptr< GNSSBlockInterface> pass through, std: shared_ptr acq, std: shared_ptr nav, std string role, std stringimplementation, boost: shared ptr< gr: msg_queue queuegenerated by DoxygenCONTENTS8.7.2.2 Channelo8.7.3 Member Function Documentation8.7.3. 1 implementation(618.7.3.2 set signal(const Gnss Signal &gnss signal8.7.3. 3 start_ acquisition(68.8 channel msg receiver cc Class Reference8.8.1 Detailed Description628.8.2 Constructor Destructor Documentation628.8.2. 1 channel_msg_ receiver_ cco8.9 ChannelFsm class Reference8.9.1 Detailed Description638.10 ChannelInterface Class Reference638.10.1 Detailed Description8.11 cl_ fft_ plan Struct Reference648.11.1 Detailed Description648.12 clFFT Complex Struct Reference648. 12. 1 Detailed Description8. 13 ClFFT Dim 3 Struct Reference8. 13.1 Detailed description658.14 ClFFT_ SplitComplex Struct Reference658. 14.1 Detailed Description658. 15 complex byte to float x2 Class Reference8. 15.1 Detailed description8. 16 complex_ float_to _ complex_ byte Class Reference668.16.1 Detailed Description668. 17 concurrent map< Data> Class Template Reference8.17.1 Detailed description8.18 concurrent_ queue< Data > Class Template Reference8.18.1 Detailed description688.19 ConfigurationInterface Class ReferenceCONTENTS8.19. 1 Detailed Description8.20 ControlMessage Class Reterence698. 20. 1 Detailed Description8.21 ControlMessage Struct Reference698.21. 1 Detailed Description8.22 ControlMessageFactory Class Reference708.22. 1 Detailed Description8. 22.2 Constructor Destructor Documentation8. 22.2. 1 ControlMessage Factory8. 22.2.2 ControlMessage(8.23 Control Thread class Reference8. 23. 1 Detailed Description718.23.2 Constructor Destructor Documentation8.23. 2.1 ControlThreado8. 23.2.2 Control Thread(std: shared_ptr< ContigurationIntertace> configuration)8.23. 2.3 Control Thread(728.23. 3 Member Function Documentation8.23.3. 1 flowgraph7282332run()728.23.3.3 set_control_ queue(boost: shared _ptr< gr: msg_queue control queue)8. 24 cpu multicorrelator Class Reference8.24. 1 Detailed Description8.25 cpu multicorrelator 1 6sc Class Reference8.25. 1 Detailed Description748.26 cshort to float x2 Class Reference748. 26. 1 Detailed Description8.27 cuda multicorrelator Class Reference8.27.1 Detailed Description758.28 direct resampler conditioner cb class Reference758.28. 1 Detailed Descriptiongenerated by DoxygenCONTENTS8.29 direct resampler conditioner cc Class Reference8.29. 1 Detailed description768.30 direct resampler conditioner cs Class Reference8.30. 1 Detailed description8.31 DirectResampler Conditioner Class Reference8.31. 1 Detailed Description788.31.2 Member Function Documentation788.31.2.1 implementation788.32 Fast Correction Struct Reference8. 32 1 Detailed Description8.33 File Configuration Class Reference8.33. 1 Detailed Description798.33.2 Constructor destructor documentation8.33.2. 1 File Configuration(8. 34 File SignalSource Class Reference808.34.1 Detailed Description808.34.2 Member Function Documentation8.34.2.1 implementation(8.35 Fir Filter Class Reference8.35. 1 Detailed Description818.35.2 Constructor Destructor Documentation8.35.2. 1 Fir Filter( ConfigurationInterface *configuration, std: string role, unsigned intreams, unsigned int out_streams)8.35. 2.2 FirFiltero8.35. 3 Member Function Documentation8.35.3. 1 implementation(828.36 FlexibandsignalSource Class Reference828.36. 1 Detailed descripti838.36.2 Member Function Documentatio8.36.2.1 implementation(8. 37 FreqXlating FirFilter Class ReferenceCONTENTSX8.37.1 Detailed Description8.37.2 Member Function Documentation848.37. 2.1 implementation(848.38 FrontEndCal Class Reference848. 38. 1 Detailed description8.38.2 Member function documentation8.38. 2.1 estimate_doppler_ from_ _eph(unsigned int PRN, double toW, double lat, doublelon, double height)8.3822 get ephemeris(),.,.,,.,,,,,,,858.38.2.3 GPS L1 front end model E4000(double f bb true Hz, double f bb_measHz, double fs nominal_ hz, double *estimated_fs_ hz, double *estimated_f if Hz, 85double *tosc_err_ppm)8.38.2.4 set_configuration(std shared_ptr< ConfigurationInterface configuration)858. 39 Galileo Almanac class Reference858.39. 1 Detailed description8. 39.2 Constructor destructor documentation8.39.2.1 Galileo_ Almanac8.40 galileo e1 dl pll veml tracking cc Class Reference8.40. 1 Detailed Descriptio88ember Function Documentation8.40.2.1 general work(int output_ items, gr_ vector_int &ninput_ items. gr vector_constvoid_star &input_items, gr_ vector_ void_ star &output_ _items)8. 41 galileo_e1_ Is_pvt Class Referenc8.41. 1 Detailed Descriptio8. 41.2 Member data documentation8. 41.2.1 d channels898.41. 2.2 galileo_ ephemeris_ map898.42 galileo e1 observables cc Class Reference8.42. 1 Detailed Description8. 43 galileo_e1_pvt_cc Class Reference8.43. 1 Detailed description8. 43.2 Constructor Destructor documentatiCONTENTS8. 43.2.1 galileo_e1_pvt_cc918. 43.3 Member Function documentation8. 3.1 general_work(int output_items, gr vector_int &ninput_items. gr_ vector_constevoid star &input items, gr vector void star &output items)918. 44 Galileo_E1_ Tcp Connector_ Tracking_cc Class Reference8.44.1 Detailed Description8. 45 galileo e1b telemetry decoder cc Class Reference928.45. 1 Detailed description938. 45.2 Member Function Documentation8.45.2. 1 forecast(int noutput_items, gr_ vector_ int &input_items_required8.45. 2.2 general_ work(int output_items, gr- vector_ int &ninput_items. gr_ vector_const+void star &input_items, gr_ vector_ void_ star &output_ items938. 45.2.3 set_channel(int channel8.45.2. 4 set_ decimation(int decimation)8. 45. 2.5 set_ satellite(Gnss_ Satellite satellite)8.46 Galileo E5a Dl Pll Tracking cc Class Reterence8.46. 1 Detailed description48. 47 galileo e5a noncoherentlQ acquisition caf cc class Reference8.47.1 Detailed Description958. 47.2 Constructor Destructor Documentation8.47. 2.1 galileo e5a noncoherentlQ acquisition caf cco8. 47.3 Member Function Documentation968.47. 3.1 general_ work(int output_items, gr_ vector_int &ninput_ items. gr vector_const+void_star &input_items, gr_vector_ void_star &output_items)8.47.32init()968.47.3.3mag(0..968.47.3.4 set active(bool active968.47.3.5 set channel(unsigned int channel)968.47.3.6 set_ doppler_ max(unsigned int doppler_ max)8.47.3.7 set_ doppler_ step(unsigned int doppler step8.47.3.8 set_gnss synchro(Gnss Synchro *p_gnss_ synchro8.47.3.9 set_local_code(std: complex< float >*code, std: complex< float > *code Q)97

使用ffmpeg api解码h264视频，并且将解码后的视频图像用opencv封装的接口进行显示，另外，程序还封装了将每帧图像保存成bmp文件的接口。

LaTeX（LATEX，音译“拉泰赫”）是一种基于ΤΕΧ的排版系统，由美国计算机学家莱斯利·兰伯特（Leslie Lamport）在20世纪80年代初期开发，利用这种格式，即使使用者没有排版和程序设计的知识也可以充分发挥由TeX所提供的强大功能，能在几天，甚至几小时内生成很多具有书籍质量的印刷品。对于生成复杂表格和数学公式，这一点表现得尤为突出。因此它非常适用于生成高印刷质量的科技和数学类文档。这个系统同样适用于生成从简单的信件到完整书籍的所有其他种类的文档。

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