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- 2020-12-07下载
- 积分：1
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SPRT Driver POS58xx热敏打印机驱动及Delphi打印实例.rar
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- 2021-11-28 00:32:08下载
- 积分：1
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CMW500仪器编程手册
CMW500的资料不多，这是非常不错的参考资料R&s CMW 500Contents overviewContents overview1 Preparing the Instrument for Use2 Getting Started3 System Overview4 Basic Instrument functions5 Remote Control6 System Command Reference7 General Purpose RF Applications8 GSM Applications9 WCDMA Applications10 WiMAX Applications11 AnnexesNote about Faceless InstrumentsChapter 1 of this manual gives an overview of the front panel controls and connectorsof the R&s CMW 500 Wideband Radio Communication Testers with display and givesall information that is necessary to put the instrument into operation and connectexternal devices. The application examples in Chapter 2 and the following chapters arealso based on a r&S CMW 500 with displayThe measurement functionality of the two instrument types is identical. You can test allmeasurement examples reported in this manual using an r&S CMW 500 withoutdisplay that is controlled from the Graphical User Interface displayed on an externalmonitor or pcFor specific information concerning faceless instruments refer to your quick start guide.Operating Manual 1202. 3986.32-03R&s CMW 500ContentsContents1 Preparing for Use…日日画1.1 Front Panel Tour1.1.1 Utility Keys…1.1.2 Status LEDs and Standby Key1.1.3 Display…1.1.4 Softkeys and Hotkeys1.1.5 Setup Keys1.1.6 Data Entry Keys223334561.1.7 Rotary Knob and Navigation Keys1.1.8 Front panel connectors1.1.8. 1 RF Connectors1.1.8.2 LAN Connector1.183 SENSOR Connector1.184 USB Connectors1.1.8.5 AF Connectors888881.2 Rear panel tour:::::B:1.3 Putting the Instrument into Operation1.3.1 Unpacking the instrument and checking the shipment1.3.2 Instrument Setup...............001.3.3 Bench Top Operation1.3.4 Mounting in a 19 Rack121.3.5 EMI Protective measures131.3.6 Connecting the Instrument to the AC Supply131.3.7 Power on and off…131.3.8 Replacing Fuses141.3.9 Standby and ready state141.4 Maintenance15Operating manual 1202.3986.32-03R&s CMW 500Contents1.4.1 Storing and Packing151.5 Connecting External Accessories…………,…,…,…,…,…,…,………,……….151.5.1 Connecting a mouse161.5.2 Connecting a Keyboard161.5.3 Connecting a Printer1.5. 4 Connecting a monitor1.5.5 Connecting a LAN Cable788916 Starting the R&scMW500 and Shutting D。wn…,.....,.,…,,,191.7 Remote Operation in a LAN...........-.201.7.1 Assigning an IP Address201.7.2 Remote Desktop Connection221.8 Windows xP国国国面1.9 Firmware Update…,,…,,,,,,,,,",…,…222 Getting Started,…,…,…252.1 Basic tasks.…252.1.1 Accessing Dialogs252.1.2 Using Keyboard Shortcuts272.1.3 Data entr272.14 Using Front Panel Keys.……282.1.5 Using an External Keyboard2.1.6 Task bar302.2 Sample Session…312.2.1 Generating an rf signal312.2.1.1 GPRF Generator2.2.2 Measuring an RF Signal332.2.2.1 GPRE Power333 System Overview…363.1 Generators363.1.1 Generator Control363.1.2 RF Path Settings(Generators)37Operating manual 1202.3986.32-03R&s CMW 500Contents3.2 Measurements383.2.1 Measurement control383.2.2 Connection Control(Measurements393.2.3 Statistical Settings3. 2. 4 Statistical Results3.2.4.1 Statistics Type423.2.4.2 Detectors433.2.4.3Peak∨ alues.433244 Averaging…443.245 Standard deviation143.2.5 Trigger Settings453.2.6 TX Measurements453.2.6.1 Power results463.2.6.2 Modulation accuracy3.2.6.3 Adjacent Channel Power(Spectrum)493.2.6.4 Spectrum Emission Mask493.2. 6.5 Code domain power503.2.6.6 Multi-Evaluation measurements4 Basic Instrument Functions534.1.1 Startup Dialog534.2 Utility Dialogs544.2.1 Reset Dialog..4.2.2 Print Dialog554.2.3 Save/Recall Dialog564.3 Setup Dialog…,,,,…574.3.1 Activating Options584.3.2 Selftests…594.3.2.1 General test features604.3.2.2 Board Tests614.3.23 System Tests…62Operating Manual 1202.3986.32-03R&s CMW 500Contents4.3.2.4 Performing Selftests24.3.25 Selftest Parameters634.3.3 Reference Frequency654.3.3.1 Reference Frequency Settings654.3.4 Measurement Controller Dialog664.3.5 Generator Controller Dialog665 Remote Control685.1 Remote Control Operation685.1.1 Establishing and Testing a LAN Connection705.1.2 Switchover to remote control5.1.3 Return to Manual Operation715.2 Messages国国国面…725.2.1 VXI-11 Interface Messages725.2.2 GPIB Bus Interface Messages..725.2.3 Device Messages(Commands and Device Responses)735.2. 4 SCPl Command structure and syntax735.2.4.1 Common commands745.2.4.2 Instrument-Control Commands5.2.4,3 Structure of a command line765.2.4.4 Responses to Queries5.2.45 SCPI Parameters,775.2.4.6 Use of SCPl Subsystems95.3 R&s CMW Software and command structure5.3.1 General command structure5.3.2 Firmware applications815.3.3 Measurement Contexts and views5.4 Control of the instrument825.4.1 Measurement Control825.4.1.1 Measurement states and measurement control commands835.4.1.2 INITiate: : MEASurement84Operating manual 1202.3986.32-03R&s CMW 500Contents5.4.1.3 ABORt: MEASurement 8554.14sTOP:< Application> MEASurement>.,……855.4.1.5 Measurement substates855.4.2 Statistical Settings865.4.3 Retrieving Measurement Results885.4,3. FEtCh.? Command885.4.3.2 READ.? Command∴8954.33 Retrieving Single∨ alues and traces.…5.4.4 Reliability Indicator5.4.4.1 Common Reliability Indicator……5.4.5 Multi-Evaluation Measurements5.4.6 Generator control925. 4.7 RF Path Settings945.4.8 Resource and path Management∴945.4.8. 1 Basic RPM Principles5.4.8.2 Queuing of Measurements∴9654.83 Causes for task Conflicts5.4.8.4 Monitoring Measurement and Generator States995.5 Command Processing...:::::B:995.5.1 Input Unit1005.5.2 Command Recognition1005.5.3 Data base and instrument hardware1015.5.4 Status Reporting System1015.5.5 Output Un1025.6 Status Reporting System1025.6.1 Overview of status Registers1035.6.2 Structure of an SCPl Status Register…1035.6.2.1 Description of the five status register parts1045.6.3 Contents of the Status Registers1055.6.3.1 STB and sre.105Operating manual 1202.3986.32-03R&s CMW 500Contents5.6.3.2 IST Flag and pPe.1065.6. 3.3 EsR and ese∴1075.6.3 4 STATus: OPERation1085.6.3.5 STATus QUEStionable1085.6.4 Application of the status reporting s ystem1085.6.4.1 Service Request1085.6.4.2 Serial poll1095.6.4.3 Parallel poll1095.6.4.4 Query of an Instrument Status1105.64.5 Error queue.….115.6.5 Reset Values of the Status Reporting System1116 Command reference∴∴11361 Special Terms and Notation…,…………,…,…,………,…,…,,…,………………1136.2 Common commands1156.3 Instrument-Control commands.117631 MMEMory Commands…..,,,…,,……1176.3.2 Ref Frequency Commands1206.3.3 STATus Commands1216.3.4 SYSTem Commands1256.3.5 LAN Services1256.3.6 Miscellaneous Instrument Settings1286. 4 Alphabetical List of Commands System)1317 GPRF Applications1337.1 GPRF Measurements and generators1337.1.1 General Purpose RF Generato.1337.1.1.1 GPRF Generator(Constant Frequency)1337.1.1.2 Arbitrary RF Generator(Option R&S CMW-B110 A)1347.1.13 List Mode∴1357.1.2 Power measurement1357.1.2.1 Test Setup…135Operating manual 1202.3986.32-03
- 2020-12-05下载
- 积分：1
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Ansoft Rmxprt12 使用指南
Rmxprt是Ansoft公司软件产品的一个组成部分，在国内企业、高校和科研单位中已经具有相当高的地位。凭借其完整的电机解决方案和高效的有限元计算核心，Ansoft软件已经成为一面旗帜和电机设计行业的首选软件。
- 2020-12-02下载
- 积分：1
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信息光学数字实验室
信息光学数字实验室配套资源，数字光学必备！！是学习光学，光学模拟的必备！
- 2021-05-06下载
- 积分：1
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stm32f030c8t6串口空闲中断
主控stm32f030c8t6芯片，采用stm32CubeMX软件生成代码，由于没有串口空闲中断接收，经过编程已加上了这个功能，供嵌入式同行借鉴使用。
- 2021-05-06下载
- 积分：1
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Matlab调用NI数据采集卡采集两路型号
用Matlab编写的两路数据采集程序，调用NI数据采集卡USB6009
- 2020-12-12下载
- 积分：1
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MATLAB六自由度弹道仿真程序
适用于弹箭飞行控制原理、导弹飞行力学等多门课程 课程设计的需求在MATLAB平台进行弹道仿真。适用于弹箭飞行控制原理、导弹飞行力学等多门课程 课程设计的需求在MATLAB平台进行弹道仿真。
- 2020-12-06下载
- 积分：1
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基于FPGA的SPWM的程序
基于FPGA的SPWM的程序基于FPGA的SPWM的程序基于FPGA的SPWM的程序基于FPGA的SPWM的程序基于FPGA的SPWM的程序基于FPGA的SPWM的程序
- 2020-11-27下载
- 积分：1
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基于实例和特征的迁移学习算法研究_戴文渊
基于实例和特征的迁移学习算法研究上海交通大学学位论文原创性声明本人郑重声明:所呈交的学位论文,是本人在导师的指导下,独立进行研究工作所取得的成果。除文中已经注明引用的内容外,本论文不包含任何其他个人或集体已经发表或撰写过的作品成果。对本文的研究做出重要贡献的个人和集体,均已在文中以明确方式标明。本人完全意识到本声明的法律结果由本人承担。学位论文作者签名:日期:200年,月6日上海交通大学学位论文版权使用授权书本学位论文作者完全了解学校有关保留、使用学位论文的规定同意学校保留并向国家有关部门或机构送交论文的复印件和电子版,允许论文被查阅和借阅。本人授权上海交通大学可以将本学位论文的全部或部分内容编入有关数据库进行检索,可以采用影印、缩印或扫描等复制手段保存和汇编本学位论文保密□,在年解密后适用本授权书。本学位论文属于不保密囝。(请在以上方框内打“√”)学位论文作者签名:指导教师签名:1日期:209年,月日日期,亻年,月,b日上海交通大学学位论文答辨决议书姓名戴文渊学号1060394所在学科计算机应用技术指导教师俞勇答辩2009年1月答辩地点逸夫科技楼311日期16日论文题目基于实例和特征的迁移学习算法研究投票表决结果:555(同意票数/实到委员数应到委员数)答辫结论:回通过口未通过评语和决议:戴文谢的论女对基家例和将而习年译入的研鉴该课题旨右桌砖传纹戒器动限劫布衣器导成眼刺张采明意和有吃作包提了-种基于泉例汪移羽法给生了aAB算回提3-种基特公汪移3方,3因片和受本键技术取場3很山敌果,流文点明方法新颖,结沉正别,反强着己孔家地推第术基础理和相关的去步知议,具级的去从季科研午W彩机答排刷凶滴蕤,回间趣正确浴拜委员会讨(孔记名拨票奉决),-敌其通过硕士怪沉辩被子召丽士209年1月16日职务姓名职称单位签名主席黄林鹏教授上海交通大学答委员辩翁惠玉副教授上海交通大学委委员薛贵荣副教授上海交通大学员会委员张冬茉副教授上海交通大学成员委员俞勇教授上海交通大学签|天姿号委员秘书韩定助理研究员上海交通大学中文摘要基于实例和特征的迁移学习算法研究摘要传统的机器学习假设训练数据与测试数据服从相同的数据分布。然而,在许多情况下,这种同分布假设并不满足。不满足同分布假设的情况往往发生在训练数捃过期,而标注新数据非常昂贵。于是,我们有有了大量的在不同分布下的过期训练数据。完全丢弃这些数据将会是非常浪费的。在这种情况下,迁移学习就变得非常重要了,因为迁移学习可以从现有的数据中迁移知识,用米帮助将米的学习迁移学习( Transfer Learning)的目标是将从个环境中学到的知识用来帮助新环境中的学习仼务。因此,迁移学习不会像传统忛器学习那样作同分布假设。在本文中,我们将会比较全面的回顾迁移学习的整个领域,并且介绍我们在迁移学习领域的近期研究成果。我们的工作可以分为两部分;基于实例的迁移学习和基于特征的迁移学习。我们将会展示出,基于实例的迁移学习有更强的知识迁移能力,而基于特征的迁移学习具有更广泛的知识迁移能力。这两种方法各有千秋。我们介绍了两种迁移学习方法,分别基于 boosting技术和特征翻译。这两种算法分别对应基于实例的迁移学习和基于特征的迁移学习。我们通过非常全面的实验来证明我们的方法在迁移学习时候能够很大幅度提高很多现有的学习算法,无论是近迁移还是远迁移关键词:迁移学习、实例、特征英文摘要Instance-based and Feature-based Transfer LearningABSTRACTTraditional machine learning techniques make a basic assumption that the training andtest data should be under the same distributions. However, in many cases, this identicaldistribution assumption docs not hold. The violation of thc assumption might happen whenthe training data are out of date, but new data are expensive to label. This leaves plenty oflabeled examples that are under a similar but different distribution which is a waste throwaway entirely. In this situation, transfer learning becomes important to take the role of leveraging these existing data knowledgeTransfer learning aims at using learned knowledge from one context to benefit fur-ther learning tasks in other contexts. Thus, transfer learning does not make the identical-distribution assumption as tractional machine learning algorithms. In this thesis, we broadreview the whole field of transfer learning and then introduce our recent work on transferlearning accordingly. Our work can be divided into two parts: instance-based transfer learning, and feature-based transfer learning. We will show that instance-based transfer learninghas better strength in knowledge transferring, while feature-based transfer learning is withmore gerWe present two transfer learning algorithms based on boosting technique and featuretranslation respectively. These two algorithms corresponds to instance-based and featurebased transfer learning. Our extensive experiments show that our algorithms can greatlyimprove several state-of-the-art algorithms in the situation of transfer learning, includingnear transfer and far transferKEY WORDS: Transfer Learning, Instance, Feature目录目录摘要ABSTRACT(英文摘要)第一章绪论第二章迁移学习领域的研究现状2.1多任务学习.22跨领域学习23不同数据分布下的学习24其他迁移学习问题25迁移学习的应用4555678第三章基于实例的迁移学习算法研究3.1基于 Boosting的迁移学习算法3.1.1基本思想.3.1.2问题定义103.1.3 TrAdaboost算法描述..123.2 TrAdaboost算法的理论分析.14321基本符号143.2.2辅助训练数据上的错误率...:.···153.2.3源训练数据上的错误率,,203.3实验分析:··..··:·.:·.:···:·:·:·:······:213.3.1数据描述..22332实验结果23第四章基于特征的迁移学习算法研究254.1基于特征翻译的迁移学习算法4.1.1翻译学习框架274.1.1.1问题定义····‘·274.1.1.2风险最小化框架.41.1.3模型估计.··2941.14翻译器o304,2实验分析324.2.1实验数据酯鲁鲁D着着·,,·,,音唐鲁帝着争324.2.2比较方法324.2.3实验结果··········:····:..:.::.:::33第五章总结与展望35参考文献致谢4·,个人简历、在学期间的研究成果及发表的论文春,音42插图插图1-1日常生活中的迁移学习例子3-1关于 TrAdaboost算法基木思想的一个直观的示例。3-2 TrAdaboost算法的机制123-3一个关于数据生成的示例223-4三种算法在 people vs places数据集上的效果243-5 TrAdaBoost算法在 people vs places数据集上的达代曲线244-1一个直观的例子,用来说明六中学习策略的异同264-2共同出现数据的例子:Flickr(http://www.flickrcom/)74-3在12个数据集上的平均错误率3444对于不同的入, TLRLSK在12个数据集上的平均错误率34表格表格3.120 Newsgroups数据分布的描述2232SRAA数据分布的描述2333当只有1%的源数据是训练数据时的分类错误率4.1文本辅助图像分类的数据描述3
- 2021-05-06下载
- 积分：1
