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基于Java FX实现的可视化排序算法
基于Java FX实现的可视化排序算法，开发工具：Eclipse，JDK版本：1.8，下载后在eclipse上添加JavaFX 插件就可以使用。演示地址:https://blog.csdn.net/Muscleheng/article/details/82285813
- 2020-12-10下载
- 积分：1
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Octave官方文档+中文使用说明（2018）吴恩达机器学习指定工具
Octave 是一款用于数值计算和绘图的开源软件。和 Matlab 一样，Octave 尤其精于矩阵运算：求解联立方程组、计算矩阵特征值和特征向量等等。在许多的工程实际问题中，数据都可以用矩阵或向量表示出来而问题转化为对这类矩阵的求解。另外，Octave 能够通过多种形式将数据可视化，并且 Octave 本身也是一门编程语言而易于扩展。因此我们可以称 Octave 是一款非常强大的可编程可视化计算程序。Octave 让解决很大范围内的数值问题变得简单，给使用者更多的时间来进行实验和考虑问题。
- 2020-12-10下载
- 积分：1
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华清远见内部高清文档资料
华清远见嵌入式文档资料，嵌入式linux驱动程序详解，详细，清晰，初学和入门者值得拥有的资料
- 2021-05-06下载
- 积分：1
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Matlab实现CORDIC算法
用Matlab的.m文件实现CORDIC算法用于产生正弦波，代码浅显易懂，该代码对于指导CORDIC算法在FPGA等可编程器件下的实现具有参考意义。
- 2020-12-05下载
- 积分：1
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5G Mobile and Wireless Communications Technology
关于5G通信和无线传输的相关知识5G Mobile and wirelessCommunications TechnologyEDITED BYAFIF OSSEIRANEricssonJOSE F MONSERRATUniversitat politecnica de valenciaPATRICK MARSCHCAMBRIDGEUNIVERSITY PRESSCAMBRIDGEUNIVERSITY PRESSUniversity Printing House, Cambridge CB2 8BS, United KingdomCambridge University Press is part of the University of CambridgeIt furthers the Universitys mission by disseminating knowledge in the pursuit ofeducation learning and research at the highest international levels of excellencewww.cambridge.orgInformationonthistitlewww.cambridge.org/9781107130098C Cambridge University Press 2016This publication is in copyright. Subject to statutory exceptionand to the provisions of relevant collective licensing agreementsno reproduction of any part may take place without the writtenpermission of Cambridge University PressFirst published 2016Printed in the United Kingdom by TJ International Ltd. Padstow Cornwalla catalogue record for this publication is available from the british libraryLibrary of Congress Cataloguing in Publication dataOsseiran. Afif editor5G mobile and wireless communications technology /[edited by] Afif Osseiran, EricssonJose F monserrat, Polytechnic University of Valencia, Patrick Marsch, Nokia NetworksNew York: Cambridge University Press, 2016LCCN2015045732|ISBN978110713009( hardback)LCSH: Global system for mobile communications. Mobile communication systems- StandardsLCC TK5103483A152016DDC62138456dc23Lcrecordavailableathttp://icCn.loc.gov/2015045732IsBN 978-1-107-13009-8 HardbackCambridge University Press has no responsibility for the persistence or accuracy ofURLS for external or third- party internet websites referred to in this publicationand does not guarantee that any content on such websites is, or will remainaccurate or appropriateTo my new born son S, my twin sons H& N, my wife L s-y for her unwaveringencouragement, and in the memory of a great lady my aunt K eA OsseiranTo my son, the proud fifth generation of the name Jose Monserrat. And with thewarmest love to my daughter and wife, for being always there.E MonserratTo my two small sons for their continuous energetic entertainment, and my dearwife for her amazing patience and support.P MarschContentsList of contributorspage xIvForewordAcknowledgmentsXIXAcronymsXXIIIntroduction1. 1 Historical background1.1.1 Industrial and technological revolution: from steam enginesto the internet1. 1.2 Mobile communications generations: from IG to 4G1.1.3 From mobile broadband ( mbb) to extreme MBB1. 1.4 IoT: relation to 5G1.2 From ICT to the whole economy6771.3 Rationale of 5G: high data volume, twenty-five billion connecteddevices and wide requirements1.3.1 Security1.4 Global initiatives1. 4.1 METIS and the 5G-PPP1. 4.2 China: 5G promotion group2241. 4.3 Korea: 5G Forum141. 4.4 Japan: ARIB 2020 and Beyond Ad Hoc1. 4.5 Other 5G initiatives14.6 Iot activities1.5 Standardization activities445551.5.1ITU-R1.5.23GPP161.5.3 EEE161.6 Scope of the book16References185G use cases and system concept212. 1 Use cases and requirements212.1.1 Use cases212. 1.2 Requirements and key performance indicatorsContents2.2 5G system concept322.2.1 Concept overview322. 2.2 Extreme mobile broadband342.2.3 Massive machine-type communication362.2.4 Ultra-reliable machine-type communication382.2.5 Dynamic radio access network392.2.6 Lean system control plane432. 2. 7 Localized contents and traffic flows52.2.8 Spectrum toolbox2. 3 Conclusions48References48The 5g architecture503.1 Introduction503.1.1 NFV and SDN503.1.2 Basics about ran architecture533.2 High-level requirements for the 5G architecture563.3 Functional architecture and 5g flexibility573.3.1 Functional split criteria583.3.2 Functional split alternatives593.3.3 Functional optimization for specific applications3.3.4 Integration of lte and new air interface to fulfill 5Grequirements3.3.5 Enhanced Multi-RAT coordination features663. 4 Physical architecture and 5G deployment3.4.1 Deployment enablers673.4.2 Flexible function placement in 5G deployments713.5 Conclusions74References75Machine-type communications774.1 Introduction774.1.1 Use cases and categorization of mto774.1.2 MTC requirements804.2 Fundamental techniques for MTC834.2.1 Data and control for short packets834.2.2 Non-orthogonal access protocols854.3 Massive mtc864.3.1 Design principles864.3.2 Technology components864.3. 3 Summary of mMTC features944.4 Ultra-reliable low-latency MTC944.4. 1 Design principles944.4.2 Technology componentsContents4.4.3 Summary of uMTC features1014.5 Conclusions102References103Device-to-device(D2D)communications1075.1 D2D: from 4G to 5G1075.1.1 D2D standardization: 4G LTE D2D1095.1. 2 D2D in 5G: research challenges1125.2 Radio resource management for mobile broadband D2D1135.2.1 RRM techniques for mobile broadband d2d5.2.2 RRM and system design for D2D1145.2.3 5G D2D RRM concept: an example5.3 Multi-hop d2d communications for proximity and emergencyservices1205.3.1 National security and public safety requirements in 3GPPand Metis1215.3.2 Device discovery without and with network assistance125.3.3 Network-assisted multi-hop d2d communications1225.3.4 Radio resource management for multi-hop D2D1245.3.5 Performance of D2D communications in the proximitcommunications scenario1255. 4 Multi-operator d2d communication1275.4.1 Multi-operator D2D discovery275.4.2 Mode selection for multi-operator D2D1285.4.3 Spectrum allocation for multi-operator D2D295.5 Conclusions133References1346Millimeter wave communications1376. 1 Spectrum and regulations1376.2 Channel propagation1396.3 Hardware technologies for mm W systems1396.3.1 Device technology1396.3.2 Antennas1426.3.3 Beamforming architecture1436.4 Deployment scenarios6. 5 Architecture and mobility1466.5.1 Dual connectivit1476.5.2 Mobility1476.6 Beamforming1496.6. 1 Beamforming techniques1496.6.2 Beam finding1506.7 Physical layer techniques1526.7.1 Duplex scheme152
- 2020-12-06下载
- 积分：1
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CVX工具箱-matlab
CVX工具箱，使用matlab进行凸优化处理的工具箱，适用于稀疏表示、压缩感知等迭代优化
- 2021-05-06下载
- 积分：1
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BP神经网络的预测Matlab程序
该文件主要包含了两个利用Matlab做的BP算法，主要用来实现预测，该文件中包含两个网络，一个是普通BP神经网络，一个为双隐含层BP神经网络。
- 2020-12-12下载
- 积分：1
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C语言数独游戏源代码+注释(.C文件)
C语言数独游戏源代码+注释，公司内部写的游戏，通过测试。
- 2021-05-06下载
- 积分：1
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双门限法语音信号端点检测matlab（可实现多段检测）
matlab程序双门限法语音信号端点检测（可实现多段检测）
- 2020-11-27下载
- 积分：1
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数据分析之电商客户评价数据分析
某知名电商拥有二十万条关于热水器的客户评价数据 ，希望能够从数据中，分析某一品牌的用户感情倾向，并详细分析该品牌产品的优缺点，进而提炼所有其他品牌热水器的卖点01项目背景02.产品销量统计03.海尔热水器情感分析04.其他品牌热水器卖点分析05小结:卖点综合分析06.数据来源及指标说明01项目背景★某知名电商拥有二十万条关于热水器的客户评价数据,希望能够从数据中,分析某一品牌的用户感情倾向,并详细分析该品牌产品的优缺点,进而提炼所有其他品牌热水器的卖点★网购大家电的行为日益成熟,及网店评价系统的日益完善,为我们提供了很好的数据积累★用前沿科技手段挖掘用户感情倾向,对生产和销售具有重要的指导意义01.项目背景02产品销量统计03.海尔热水器情感分析04.其他品牌热水器卖点分析05小结:卖点综合分析06.数据来源及指标说明02销量统计年至年总体销量如图,海尔销量约占总体的占了将近大半壁江山年销售汇总图表标题海尔·美的·万和c格兰仕··万家乐海尔美的万和格兰仕万家乐02销量统计年至年各年各品牌销售情况如图可以看出,海尔热水器于年早先于其他品牌进入网店销售,并且销量一直稳居前列年热水器各年销售统计■格兰仕■海尔■美的■万和■万家乐01.项目背景02.产品销量统计03海尔热水器情感分析04.其他品牌热水器卖点分析05小结:卖点综合分析06.数据来源及指标说明03海尔热水器客户情感分析★总体满意度指枋海尔品牌客户评价满意度星级海尔品牌客户评价比例差评差评★较差★★一般★★★很满意满意★★★★很满意★★★★★较差一般满意从图表中可以看出,客户对海尔热水器的综合评价较高,很满意的占45%,差评比率为差评·较差■一般■满意■很满意占24%,其中差评主要的原因为安装配件的费用03海尔热水器客户评价词频质量费用服务品牌加热安装费安装品牌从图表中可以看出,客户对于海保温便宜送货名牌外观实惠师傅大牌尔品牌的服务提及的频率较高配件性价比服务销售时可以着重强调服务及售后质量价格售后效果材料费发货水阀收费包装容量价钱保修温度价位质保出水量特价换货使用经济功品率质口口恒温性能效率插头耗电管道功能质量价格服务品牌
- 2020-12-12下载
- 积分：1
