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LittlevGL中英文档
LittlevGL是一个免费的开源图形库，提供了创建嵌入式GUI所需要的一切易于使用的图形元素，具有漂亮的视觉效果和低内存占用。具有功能强大的单元块，对输入设备支持较完善，同时具有低内存，采用C编写具有比较好的兼容性。中英文档是对LittlevGL文档的简单翻译，有利于快速了解LittlevGL各功能模块的应用。EXamde5.4 Button(v btn)............58Overview58Style usage...............59Notes59Example595.5 Button matrix(lv btnm)61Overview61Style usage.................,..................62Notes62Example625.6 Calendar( calendar)-……64OverviewStyle usage……看着翻Example655.7 Chart( ly chart)…67Overview..67Style usage.......:.:::::·::::::68Example…685.8 Check box lv cb)70Overview70Style usage…70Example705.9 Container(lv cont72Overview72Style usage……72NoExample735.10 Drop down list(lv ddlist)74Overview74Style usage ...74Example,…:::..:.:..:::::.aa是着着·目1着着,非着·着755.11 Gauge(Iv gauge7676Style usage76Example775.12mage(img)….,,,,,7878Style usage着看E着NotesExample795.13 Image button(| imgbtn).…………………281verview81Style usage…...,.,NotesExample,…815.14 Keyboard(Nkb)…83Style usageExample5.15List(|ist)…着着着D·音着着垂8585Style usage.........................85Notes86EXame865.16LED(l|ed)..,OverviewStyle usage....................89Notes89Example5.17Line(line)…91OverviewStyle usage.................,..................91NotesExample....................5.18 Line meter( Imeter)……93Overview..93Style usage…看着翻93Notes93Example945.19 Label (lv label)..96Overview96Style usage………………Notes97Example975.20 Message box(Iv mbox).......,,99OverviewStyle99Not100mp1005.21 Page(v page)........::::.:.:::102Overview…………,…102Style usage103Notes103Example1045.22 Preloader(lv preload):.::::::..105Overview105Style105Example1055.23 Roller(lv roller).......106Overview.…106Style usage…106ExampleE着1075.24 Slider (lv slider).108Overvie108Style usage108Notes108Example1095.25 Spinbox(Iv_ spinbox).111Overview……4111Style usage Notes111notes111Example....1115.26 Switch(lSW)…..112Overview.…4112Style usage…112Notes112Example1135.27 Tab view(Iv tabview)114Overview114Style usage…..114Notes…115Example1155.28 Text area(lvta)…116Overview116Style usage117Notes117Example1175.29 Window(lv window)119Overvie.119Style usage119Notes120camp内容表Welcome portingButton matrix (lv btnm欢迎移植Calendar (lv calendar)PC simulator ObjectsPC模拟器项目Chart(lv chart)Styles风格Check box (1v cb)Input devicesContainer(1v cont输入设备Drop down list(lv ddlist)Colors颜色Gauge(lv gauge)Fontmage (lv lmg字体Image button(lv imgbtn)Drawing绘画Keyboard (lv kb)List(lv listAnimations动画Led(lv led)Coding Style guideLine (1v line)Line meter(lv 1meter)Object typesArc(lv arc)Label(lv labe1)Bar (lv bar)Message box(1v mbox)Base object (lv obj)Page(lv pageButton(lv btn)Preloader(lv preload)Switch(lv sw)Roller (lv rollerTab view (lv tabview)Slider (lv sliderText area (lv ta)inbox (lv spinboXWindow (lv window)云图■xD62:ChecK Doeleica一Cekba check bpsELittleygl是一个免费的开源图形库,提供了创建嵌入式GU所需要的一切易于使用的图形儿素,只有漂亮的视觉效果和低内存占用。关键特性Powerful building blocks buttons, charts, lists, sliders, images, etc功能强大的单元块按钮、图表、列表、幻灯片、图片等Advanced graphics with animations, anti-aliasing, opacity, smooth scrolling先进的图形动画,反锯齿透明度,平滑滚动Various input devices touch pad, mouse, keyboard, encoder, buttons, etc各种输入设备触摸板、鼠标、键盘、编码器、按钮等。Multi-language support with UTF-8 encoding支持UTF-8编码的多语言Fully customizable graphical elements全可定制的图形元素Hardware independent to use with any microcontroller or display硬件独立于任何微控制器或显示器Scalable to operate with little memory (50 kB Flash, 10 kB RAM)可伸缩用于少量内存(50 kb flash,10 kb ram)的操作OS, External memory and GPU supported but not required支持O5、外部存储器和GPU,但也不强求Single frame buffer operation even with advances graphical effects即使有先进的图像特效,也可以进行单帧缓冲Written inc for maximal compatibility用C编写,从而具有最大的兼容性Simulator to develop on PC without embedded hardware没有嵌入式硬件的情况下也可以基于PC模拟器开发Tutorials, examples, themes for rapid development为快速丌发而准备的教程、例了及主题5
- 2020-12-03下载
- 积分：1
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高斯混合模型（EM算法）Matlab代码
高斯混合模型（EM算法）Matlab代码,并附有简单实例测试估计效果
- 2020-12-06下载
- 积分：1
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风速仪代码
风速仪的源代码基于STC12C旋转式风速仪的源代码，可以测量风速， 温度 还有把测出来的结果个别显示出来。
- 2020-12-09下载
- 积分：1
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乒乓球比赛抽签软件,含说明书、学习包
乒乓球比赛抽签软件,含说明书、学习包，很好用，手机端也可以使用
- 2020-12-10下载
- 积分：1
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C51单片机Proturs仿真TLC549（AD）采集系统
该资源在Pritues仿真软件中用51单片机和TLC549芯片实现了AD的采集，并有keil编写的C程序可供参考。
- 2020-11-30下载
- 积分：1
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计算机网络实验报告
计算机实验室网络课程实验报告。完整完全版。组网试验、vlan、arp协议、rip与静态路由等等
- 2020-12-08下载
- 积分：1
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BP网络变压器故障诊断
利用BP神经网络对变压器进行故障诊断，以特征气体含量的比值作为输入，利用matlab建立故障诊断模型。
- 2020-12-10下载
- 积分：1
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Reinforcement Learning An Introduction_Sutton-增强学习导论（文档+代码）
压缩包中包括Reinforcement Learning An Introduction英文与中文文档，还包括涉及的课程代码。
- 2020-11-27下载
- 积分：1
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系统辨识大牛Ljung编写的MATLAB系统辨识使用手册
系统辨识大牛Ljung编写的MATLAB系统辨识使用手册，这本书详细地介绍了在MATLAB已经所属simulink环境下，系统辨识工具箱的一些使用办法，是一本非常经典的教材！Revision Historypril 1988First printingJuly 1991Second printingMay1995Third printingNovember 2000 Fourth printingRevised for Version 5.0(Release 12)pril 2001Fifth printingJuly 2002Online onlyRevised for Version 5.0.2 Release 13)June 2004Sixth printingRevised for Version 6.0.1(Release 14)March 2005Online onlyRevised for Version 6.1.1Release 14SP2)September 2005 Seventh printingRevised for Version 6.1.2(Release 14SP3)March 2006Online onlyRevised for Version 6.1.3(Release 2006a)September 2006 Online onlyRevised for Version 6.2 Release 2006b)March 2007Online onlyRevised for Version 7.0 ( Release 2007a)September 2007 Online onlyRevised for Version 7.1 (Release 2007bMarch 2008Online onlyRevised for Version 7.2(Release 2008a)October 2008Online onlyRevised for Version 7.2.1 Release 2008b)March 2009Online onlyRevised for Version 7.3(Release 2009a)September 2009 Online onlyRevised for Version 7.3.1(Release 2009b)March 2010Online onlyRevised for Version 7. 4 (Release 2010a)eptember2010 Online onlyRevised for Version 7.4.1(Release 2010b)pril 2011Online onlRevised for Version 7.4.2(Release 2011a)September 2011 Online onlyRevised for Version 7.4.3(Release 2011b)March 2012Online onlyRevised for Version 8.0( Release 2012aabout the DevelopersAbout the Developersystem Identification Toolbox software is developed in association with thefollowing leading researchers in the system identification fieldLennart Ljung. Professor Lennart Ljung is with the department ofElectrical Engineering at Linkoping University in Sweden. He is a recognizedleader in system identification and has published numerous papers and booksin this areaQinghua Zhang. Dr. Qinghua Zhang is a researcher at Institut Nationalde recherche en Informatique et en Automatique(INria) and at Institut deRecherche en Informatique et systemes Aleatoires (Irisa), both in rennesFrance. He conducts research in the areas of nonlinear system identificationfault diagnosis, and signal processing with applications in the fields of energyautomotive, and biomedical systemsPeter Lindskog. Dr. Peter Lindskog is employed by nira dynamiAB, Sweden. He conducts research in the areas of system identificationsignal processing, and automatic control with a focus on vehicle industryapplicationsAnatoli Juditsky. Professor Anatoli Juditsky is with the laboratoire JeanKuntzmann at the Universite Joseph Fourier, Grenoble, france. He conductsresearch in the areas of nonparametric statistics, system identification, andstochastic optimizationAbout the developersContentsChoosing Your System Identification ApproachLinear model structures1-2What Are Model objects?Model objects represent linear systemsAbout model data1-5Types of Model objectsDynamic System Models1-9Numeric Models1-11umeric Linear Time Invariant (LTD Models1-11Identified LTI modelsIdentified Nonlinear models1-12Nonlinear model structures1-13Recommended Model Estimation Sequence1-14Supported Models for Time- and Frequency-DomainData,,,,,,,1-16Supported Models for Time-Domain Data1-16Supported Models for Frequency-Domain Data1-17See also1-18Supported Continuous-and Discrete-Time Models1-19Model estimation commands1-21Creating Model Structures at the command Line ... 1-22about system Identification Toolbox Model Objects ... 1-22When to Construct a Model Structure Independently ofEstimation1-23Commands for Constructing Model Structures1-24Model Properties1-25See als1-27Modeling Multiple-Output Systems ......... 1-28About Modeling multiple-Output Systems1-28Modeling Multiple Outputs Directly1-29Modeling multiple outputs as a Combination ofSingle-Output Models.......1-29Improving Multiple-Output Estimation Results byWeighing Outputs During Estimation ....... 1-30Identified linear Time-Invariant models1-32IDLTI Models1-32Configuration of the Structure of Measured and Noise oRepresentation of the Measured and noise Components foVarious model Types1-33Components ....1-35Imposing Constraints on the Values of ModeParameters1-37Estimation of Linear models1-8Data Import and Processing2「Supported Data ...2-3Ways to Obtain Identification DataWays to Prepare Data for System Identification ... 2-6Requirements on Data SamplingRepresenting Data in MATLAB Workspace·····Time-Domain Data Representation2-9Time-Series Data Representation2-10ContentsFrequency-Domain Data Representation ....... 2-11Importing Data into the Gui2-17Types of Data You Can import into the GUi2-17Importing time-Domain Data into the GUI2-18Importing Frequency-Domain Data into the GUI2-22Importing Data Objects into the GUI ......... 2-30Specifying the data sampling interval2-34Specifying estimation and validation Data2-35Preping data Using Quick StartCreating Data Sets from a Subset of Signal Channelo2-362-37Creating multiexperiment Data Sets in the gUi2-39Managing data in the gui ............. 2-46Representing Time- and Frequency-Domain Data Usingiddata object2-55iddata constructor2-55iddata Properties.........2-58Creating Multiexperiment Data at the Command Line .. 2-61Select Data Channels, I/O Data and Experiments in iddataObjects2-63Increasing Number of Channels or Data Points of iddataObjects2-67Managing iddata Objects2-69Representing Frequency-Response Data Using idfrdObiec2-76idfrd Constructor2-76idfrd Properties2-77Select I/o Channels and Data in idfrd Objects ..... 2-79Adding Input or Output Channels in idfrd Objects2-80Managing idfrd Objects2-83Operations That Create idfrd Objects2-83Analyzing Data quality2-85Is your data ready for modeling?2-85Plotting Data in the guI Versus at the command line2-86How to plot data in the gui2-86How to plot data at the command line2-92How to Analyze Data Using the advice Command2-94Selecting Subsets of Data2-96IXWhy Select Subsets of Data?2-96Extract Subsets of Data Using the GUI2-97Extract Subsets of data at the Command Line2-99Handling Missing Data and outliers2-100Handling missing data2-100Handling outliers2-101Extract and Model Specific Data Segments2-102See also2-103Handling offsets and Trends in Data2-104When to detrend data2-104Alternatives for Detrending Data in GUi or at theCommand-Line2-105Next Steps After detrending2-107How to Detrend Data Using the Gui2-108How to detrend data at the Command line2-109Detrending Steady-State Dat109cending transient Dat2-109See also2-110Resampling Data2-111What Is resampling?...,,.,,,,,,,,,,,.2-111Resampling data without Aliasing Effects2-112See also2-116Resampling data Using the GUi.,,,,2-117Resampling Data at the Command line2-118Filtering Data2-120Supported Filters2-120Choosing to Prefilter Your Data2-120See also2-121How to Filter Data Using the gui2-122Filtering Time-Domain Data in the GuI........ 2-122Content
- 2020-12-11下载
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DPSK、QPSK、OQPSK信号的仿真
【实例简介】用matlab /simulink完成DPSK,OPSK,OQPSK信号的仿真分析对比，理解相移键控的基本原理，解调系统的性能。掌握各个模块之间的关系及系统参数，真确的应用matlab/simulink软件，学会使用软件中各个模块的作用、性能。把所学的知识与实际结合起来，应用到实际当中，学会使用matlab/simulink软件，掌握DPSK,OPSK,OQPSK解调和调制。
- 2021-11-07 00:32:02下载
- 积分：1
