Android对apk源码的修改工具

一个用access数据库的学生成绩管理系统

基于SVM电力系统短期负荷预测的其中一个例程，包含数据和程序，与传统的算法相比，本代码在导入SVM训练之前对影响短期负荷的各种因素作了一个加权的特殊处理

1stOpt（First Optimization）是七维高科有限公司（7D-Soft High Technology Inc.）独立开发，拥有完全自主知识产权的一套数学优化分析综合工具软件包。在非线性回归，曲线拟合，非线性复杂工程模型参数估算求解等领域傲视群雄，首屈一指，居世界领先地位。除去简单易用的界面，其计算核心是基于七维高科有限公司科研人员十数年的革命性研究成果【通用全局优化算法】(Universal Global Optimization - UGO)，该算法之最大特点是克服了当今世界上在优化计算领域中使用迭代法必须给出合适初始值的难题，即用户勿需给出参数初始值，而由1stOpt随机

银灿IS917U盘PCB电路（原理图+PCB图）！

1、使用HTTP普通身份验证2、实现功能：登录,微博首页微博列表,发布,转发,评论,收藏3、使用BackgroundWorker实现微博列表翻页异步加载，微博列表获取的JSON格式的数据并进行反序列化4、内置网络收集到的21种皮肤5、供有兴趣的朋友参考（参考价值专用）6、转载请注明出处

《自适应滤波器算法与实现》 的MATLAB源码，包含了各种自适应算法，如LMS NLMS, RLS,很实用。

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

opencv2计算机视觉编程手册书籍+源代码+图片资源）希望帮到大家

由广播星历，通过matlab程序简易计算卫星坐标。必须有广播星历

NTC温度采集方案，有详细的算法，包括一些程序，硬件设计等SUNPLUS用热敏电阻做朵用温度月录页系统概要系统说明热敏电阻器1.2.1电阻一温度关系1.3数值处理线性插值软件说明软件说明2档案构成2.3程序说明程序范例DEMO程序使件原理佟使用资源硬件使用资源说明参考文献SUNPLUS用热敏电阻做朵用温度修订记录版本日期编写及修订者编写及惨订说明初版错误校SUNPLUS用热敏电阻做朵用温度系统概要系统说明木应用例实现ⅳrC热敏电阻器对温度的测量。热敏电阻器把温度的变化转换为电阻阻值的变化,再应用相应的测量电路把阻佶的变化转换为电压的变化;SPMC75F2413A内建8路ADC可以把模拟的电压值转换为数字信号,对数值信号进行处理可以得到相应的温度值。热敏电阻器热敏电陧有电阻值随温度升高而升高的正温度系数(3 ositive Tcmpcraturc Coefficient简称PC)热敏电阻和电阻值随温度升高而降低的负温度系数( Negative TemperatureCoefficient简称NTC)热敏电阻。NT~热敏电阻器,是·种以过渡金属氧化物为主要原材料,采用电了陶瓷⊥艺制成的热敏半导体陶瓷组件ε这种组件的电阻值随温度升髙而降低,利用这一特性可制成测温、温度补偿和控温组件,又可以制成功率型组件,抑制电路的浪涌电流。电阻温度特性可以近似地用下式来表示:式中:Rη、R分别表示NTC在温度T(K)和额定额定温度T(K)卜的电阻值,单位2,T、T为温度,单位K(Ts(k)-273.15+T(℃))。B,称作B值,NTc热敏电阻特定的材料常数(Beta)。由于B值同样是随温度而变化的,因此NT热敏电阻的实际特性,只能粗略地用指数关系来描述,所以这种方法只能以一定的精度来描述额定温度或电阻值附近的有限的范围。但是在实际应用中,要求有比较精桷的R-T曲线。要用比较复杂的方法(例如用thesteinhart-Hart方程),或者用表格的形式来给定电阻/温度关系应用例选用NC热敏电阻器CwF2-502F3950,基于精确的R-T曲线,来对温度进行精确的测量。电阻一温度关系如表1-1所示,NC热敏电阻器CwE2-502F3950各温度点的电阻值,即电阻一温度关系表。从提供的电阻一温度关系表中可以看出NTC热敏电阳器CWE2-502E3950的测温范围为[-55℃,125℃],其电阻值的变化范围为[25006292,242.6492]。表1-1电阻一温度关系衣温度℃电阻值Ω温度℃电阻值Q温度℃电阻值Q55250062542374045322523952213575120241219175C4918158018171895-471626844615393345l∠56384∠1377534313029342123231-4111655CSUNPLUS用热敏电阻做朵用温度4010232391042613898621.793295.53688267.43583521.83479043.93374819.23270833.93167074.730635292960184.6-2857030.22754054.72651247.9-25486002446101.6234374422415192139418.82037435.9-1935563.51833795-1732124.463C545.829053.827643.3-1326309.525047.91123854.2-1022724,621655.320642.719683.618774.917913.6417097.116332.915588.4111891.5014230113601.913005.412438.7l1900.111388.210901.310438.39997.74578.41109181113799128436.83133091.73147762.787449.16167150.C4176864.7592.4196332.49206C34.32215847.31225620.89235404,53245197.72255000264810.9274630.014456.93294291.283C4132.69313980.83323835.383696.03343562.193434.53194.1383C81.22392972.92402869412769.24422673.47432581.5442493.17452408.3462326.76472248.38482173.04492100.6502032511963.92521899.441837.4541777,6已1720.2561664.85571611.541560.2591510.746C1463.08611417,14621372.87631330.18641289.C21249.321211.03671174.C91138.44691104.04701070.83711C38.78721007.8273977.9374949,0675921.1776894.22868.1878843.027980795.1781772.4382750.4483729.1784708.685688.786669.4487650.88632.76SUNPLUS用热敏电阻做朵用温度89615.39C91582.0292566.179550.8194535.9495521.5396507.5797∠94.0598480.9499468.23100453.301443.9710243210321.15104410.26105399.69106389.4407379.5103369.85109360.48101,411112.57112334.01325.69114317.62115309.7716302.16117294.76118287.5719280.59120273.8121267.21122260.8123254.512L248.52125242.64数值处理通过表1-1电阻一温度关系表可以很直观的看到电阻的变化范围从242.649到2500629,在-55℃的时候其表现出的电阻值是125℃时所表现的电阻值的1030倍,这幺大的变化范围也为ADC测量带来了困难。测量电路如图1-1所示。如图1-1测量电路如上图所示NTC热敏电阻Rⅴ和测量电阻Rm(精密电阻)组成一个简单的串联分压电路,参考电压VCC Ref经过分压可以得到一个电压值随着温度值变化而变化的数值,这个电压的大小将反映出NTC电阻的人小,从而也就是相应温度值的反映。通过欧姆定律可以得到输出电压值Vadc和NTc电阻值的一个关系表达式:vadVre上+Rm/(Rv+Rm)那幺接下来的数据处理将基于式(1)展开:sPMC75F2413A的ADC为10-Bit的精度,其参考电SUNPLUS用热敏电阻做朵用温度压为5V,因此这里可以选择Vre￡=5V。各温度点对应的ADC转换后的数字量可以计算。Dadc = 1024*Adc/5V(2)式(1)、(2)结合可以得到:Dadc 1024*Rm/(Rv+Rm)(3)如果这里取测量电阻Rm选择4.7K9,那幺可以计算出在-55℃时所对应的Dadc=1024*1000/(250062+100C)=4;在125℃时所对应的Dadc=1024*1000/(242.64+10C0)824。根据这样的对应关系对数据进行预处理,得到如下处理结果如表1-2所示:表1tatic const Int16 NTCTAB2[18119,20;21,22,23,24,26,27,29,30,32;34,36,38,40,42,44,47,49,52,55,57,61;64,67,71,74,78,82,86,90,95,99,104,109114120,150,156,161,168,172,180,187,194,201,208,215,22,230,238,247255,264,272,280,291,302,310;319328,338;347,357367,376,384;395,4C5,414r424;434444,453,464,47448,494,502;512,522,531,540,551,560,569,579,586;595,604,613,624,633,642,650;658,666,673,680,688:696,704,712,719,726,733,741;749,755,760,767,774,780,785,791,798,804,811,816,8827,832,837,842;847,851,856;862,868,873,856;860,64,868,872,376;879,883,886;890,893,896,899;902,905,908,911,914;917,919,922;924,927,929,931;934,936,938,940,942,94,946,947,949,951,953,954,956,958,959,961,962;964,965,966,968,969,970,971,973,974};//4.7K当然这也是应用例中所需要的一个很重要的转换表,这一部分是事先制作好的表格,将为接下来的处理提供参考依据。测量电阻Rm的选取是有一定的规律的,在实际的应用中不一定都需要测量全程温度,可以估算岀大致的温度范围。木着提高测量精度的宗旨:如果是应用在测量低温的系统中建议Rπ选择较大的电阻(10KΩ),如果在测量较高温的系统中建议Rn选择较小的电阻(1κΩ)等。线性插值在AEC进行数据采集的过程中不可能每个数值都在整温度所对应的AD数值上,所以如果在两个数据的中间一段就要对其进行进一步的精确定位。这样就必须知道采集到的数据在表1-2中的具体位置,因此要对数据表进行搜索、查找。线性表的查找(也称枍索),可以有比较常见的顺序查找、折半查找及分块查找等方法,分析线性表1-2可以得到折半查找的算法是比较高效的。Eg如果ADC采样的数值为Dade=360,即357