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[JSP/JavaTableToolTipsDemo

Description: The code is fairly straightforward, except perhaps for the call to convertColumnIndexToModel. That call is necessary because if the user moves the columns around, the view s index for the column doesn t match the model s index for the column. For example, the user might drag the Vegetarian column (which the model considers to be at index 4) so it s displayed as the first column — at view index 0. Since prepareRenderer gives us the view index, we need to translate the view index to a model index so we can be sure we re dealing with the intended column-The code is fairly straightforward. except perhaps for the call to convertColumnIn dexToModel. That call is necessary because if t he user moves around the columns. the view s index for the column doesn t match the m PEDA s index for the column. For example, the user might drag the Vegetarian column (which h the model considers to be at index 4) so it s disp layed as the first column-view at index 0. Since prepareRenderer gives us the view index, we need to translate the index to view a model ind ex so we can be sure we re dealing with the intende d column
Platform: | Size: 2692 | Author: 黄加斌 | Hits:

[Other resourcepathloss&gnoise

Description: cp0801_pathloss为UWB信道损耗计算函数,利用a=(c/(d^gamma))计算出信道增益,然后对函数的输入信号幅度进行变换得到输出结果。 cp0801_Gnoise1和cp0801_Gnoise2为产生AWGN的函数,分别为Eb/No和Ex/No条件下AWGN的产生-cp0801_pathloss for UWB channel depletion calculation function, use a = (c / (d ^ gamma)) calculated Channel Gain, then the function of the input signal range for transform output. Cp0801_Gnoise1 and AWGN cp0801_Gnoise2 to generate the function, for Eb / No and Ex / No conditions for the selection of AWGN
Platform: | Size: 1739 | Author: 贾凯 | Hits:

[JSP/JavaTableToolTipsDemo

Description: The code is fairly straightforward, except perhaps for the call to convertColumnIndexToModel. That call is necessary because if the user moves the columns around, the view s index for the column doesn t match the model s index for the column. For example, the user might drag the Vegetarian column (which the model considers to be at index 4) so it s displayed as the first column — at view index 0. Since prepareRenderer gives us the view index, we need to translate the view index to a model index so we can be sure we re dealing with the intended column-The code is fairly straightforward. except perhaps for the call to convertColumnIn dexToModel. That call is necessary because if t he user moves around the columns. the view s index for the column doesn t match the m PEDA s index for the column. For example, the user might drag the Vegetarian column (which h the model considers to be at index 4) so it s disp layed as the first column-view at index 0. Since prepareRenderer gives us the view index, we need to translate the index to view a model ind ex so we can be sure we re dealing with the intende d column
Platform: | Size: 2048 | Author: 黄加斌 | Hits:

[matlabpathloss&gnoise

Description: cp0801_pathloss为UWB信道损耗计算函数,利用a=(c/(d^gamma))计算出信道增益,然后对函数的输入信号幅度进行变换得到输出结果。 cp0801_Gnoise1和cp0801_Gnoise2为产生AWGN的函数,分别为Eb/No和Ex/No条件下AWGN的产生-cp0801_pathloss for UWB channel depletion calculation function, use a = (c/(d ^ gamma)) calculated Channel Gain, then the function of the input signal range for transform output. Cp0801_Gnoise1 and AWGN cp0801_Gnoise2 to generate the function, for Eb/No and Ex/No conditions for the selection of AWGN
Platform: | Size: 1024 | Author: 贾凯 | Hits:

[Windows DevelopEx_dll

Description: 应用dll实例,如果有需要链接Excel的可直接发mail给我-Dll application example, if there is a need to link Excel can directly mail to me
Platform: | Size: 27648 | Author: peter | Hits:

[Delphi VCLSUIPack

Description: 国外很强大好用的皮肤控件,可用于DELPHI,BP开发平台-SUIPack.chm is the help file. Double click on it. Skin files are in the Skins directory.
Platform: | Size: 4521984 | Author: gjf123 | Hits:

[SCMccd

Description: 高速高分辨率CCD器件的实用化是近年图像采集领域的一个研究热点。选用科学级柯达 新型高分辨率可见光面阵CCD KA I- 0304设计了一种高速图像采集系统。该系统采用KSC - 100作为时序发生器驱动面阵CCD 和信号处理器AD9840A, 实现对CCD面阵输出模拟信号的高速A /D转换, 并将信号快速转存至片外SDRAM 存储器, 经USB 采集系统将数据发送到计算机。系统采用相关双采样( CDS)技术滤除信号中的相关噪声, 提高了系统的信噪比, 采集速度达40Mb it / s, 具有 集成度高、低噪声、数据传输速度快等特点。经测试, 系统工作稳定, 为高端科学级CCD面阵的实用化提供了一种设计方案。-The applicat ion of h igh speed and high reso lution CCD is a research ho tspot in im age ac􀀁 quisit ion fie ld. A high speed image acqu isition system is introduced and designed by using a new high reso lution sc ientific leve l v isible light area CCD KA I- 0304. In the design, area CCD and signa l processor AD9840A are driven by using KSC- 100 as the tim ing and driv ing c ircuit and then the conversion o f h igh speed A /D for the CCD output o f analog signal is performed. The generated data signa l is qu ickly transferred to ex terna l SDRAM m emory. Fina lly, data w ill be sent to a computer via USB acqu isition system. Furthermo re, correlated double sampling( CDS) techno logy is adopted in the sys􀀁 tem to remove the relevant signa l no ise and the signal- to- no ise ration( SNR) is improved. The acqui􀀁 sition speed is up to 40Mbit/s. The system is featured by high integration, low no ise, h igh speed data transm ission. A fter test ing, the s
Platform: | Size: 259072 | Author: | Hits:

[SCMex-18

Description: 在Protues下用c语言实现51单片机与AD芯片TLC549的接口,将A/D结果显示在数码管上-Under the Protues language with c AD 51 and TLC549 chip interfaces, will be A/D results in the digital tube
Platform: | Size: 1024 | Author: gqyangedu | Hits:

[AI-NN-PRAdaptive-Embedding-Dimension

Description: 嵌入维数自适应最小二乘支持向量机 状态时间序列预测方法 Condition Time Series Prediction Using Least Squares Support Vector Machine with Adaptive Embedding Dimension 针对航空发动机状态时间序列预测中嵌入维数难于有效选取的问题, 提出一种基于嵌入维数自适应 最小二乘支持向量机( L SSVM ) 的预测方法。该方法将嵌入维数作为影响状态时间序列预测精度的重要参 数, 以交叉验证误差为评价准则, 利用粒子群优化( P SO ) 进化搜索LSSV M 预测模型的最优超参数与嵌入维 数, 同时通过矩阵变换原理提高交叉验证过程的计算效率, 并最终建立优化后的L SSVM 预测模型。航空发 动机排气温度( EGT ) 预测实例表明, 该方法可自适应选取适用于状态时间序列预测的最优嵌入维数且预测 精度高, 适用于航空发动机状态时间序列预测。- T o deal wit h the difficulty of selecting an appro pr iate embedding dimension for aeroeng ine co ndition time series predictio n, a metho d based o n least squar es suppo rt vecto r machine ( L SSVM ) with ada ptive em bedding dimension is pro po sed. I n the method, the embedding dimensio n is identified as a parameter that af fects the accuracy o f the aer oengine condition time series predictio n par ticle sw arm o ptimizat ion ( P SO) is ap plied to optimize the hyperpar ameter s and embedding dimension of the L SSV M pr edict ion model cro ssv alida tion is applied to evaluate the perfo rmance o f the L SSVM predictio n mo del and matr ix tr ansfo rm is applied to the L SSVM pr ediction model tr aining to accelerate the crossvalidation evaluation pro cess. Ex periments on an aeroengine ex haust g as t emperatur e ( EGT ) predictio n demonst rates that the metho d is hig hly effective in em bedding dimension selection. In compar ison w ith co nv
Platform: | Size: 342016 | Author: | Hits:

[File FormatNovel-approach-for-texture

Description: 为提高基于内容的图像检索系统中纹理特征提取的有效性,提出了又一种纹理图像检索方法。该方法 利用非下采样 Contourlet变换对图像进行分解, 提取不同子带和不同方向变换系数矩阵的均值和方差为特征向量, 作 为数据库中纹理图像的索引,并利用两种不同的相似度函数计算图像之间的相似度,建立了一套基于示例查询图像 的纹理图像检索系统。实验结果表明,与小波包等特征提取方法相比, 该方法不仅能降低特征向量维数,而且能取得 更高的检索准确率和检索速度。-To i ncrease t he vali d ity o f tex t ure feature ex tracti on in conten t-based i mage retrieva l syste m, a nove l approach for tex ture i m age retr ieva lw as proposed . Th i s approach w as based on theNonSubsamp l ed Con t our l et T ransform ( NSCT). The m eans and variab l es of NSCT co efficien tsm a trix i n d ifferen t s ubbands and var i ous directi ons were ex tracted to for m the feature vectors wh ich we re reg arded as i ndexes of tex t ure i mages i n i m age da tabase . Two s i m il ar ity functi ons were used to compute the si m ilar i ty bet w een i m ages . A tex ture re trieval sy stem based on query i m age w as deve l oped . Co m pared to the w ave let packag e transform, th i s approach can no t on l y reduce the di m ension o f feature vectors , but a l so get higher accu racy and speed of retr i eva. l
Platform: | Size: 346112 | Author: jjdjjf | Hits:

[OtherTEXTURE-IMAGE-SEGMENTATION

Description: 提出了一种基于非下采样 Contourlet变换 ( NSCT)和马尔科夫随机场 (MRF)相结合的纹理图像分割算法。算法包括两 个步骤, 首先通过 NSCT实现对图像纹理特征的提取, 并使用模糊 C-均值完成对图像的初始分割 然后将初始分割结果用 MRF模型 表示, 通过贝叶斯置信传播得到图像的最终分割结果。实验结果表明, 对于纹理图像,该方法在分割错误率、 区域一致性以及边缘的 准确性方面都比传统小波变换的方法有了明显的改善。-A tex ture i m age seg m entation a l go rithm based on comb i nati on of non-down sa m pling Contourlet transfor m ( NSCT) andM arkov rando m fi e l d model is proposed . The algorithm consists o f t wo steps . F ir st , the tex t u re f ea t ure of i m ag e is ex trac ted by NS CT, and the i m age is seg m ented i n itia lly by fuzzy c- m eans Second , the pr i m aril y seg m ented results are expressed byMRF mode, l and the fi nal seg m entati on re- s u lts are ga i ned v i a Bayes beli e f propag ati on . The exper i menta l resu lts show tha t this a l gor it hm is effecti ve fo r tex t ure i m age , it prov i desm uch better res u lts i n erro r ra te o f segm enta tion , reg ion ho m ogene ity and edge accuracy than tho se of trad iti onal w ave let transf o r m ing m ethods
Platform: | Size: 216064 | Author: jjdjjf | Hits:

[OtherIMM

Description: 多模型方法是一种混合估计方法,相对于传统的估计方法而言(例如 Kalman 滤波) , 它特别适合于具有未知变参 数或变结构系统的研究, 因而在许多领域得到了成功应用。回顾了多模型方法的发展过程, 对现有各种多模型估计方法进行 了总结, 并提出了研究方向-Mult iple-model ( MM ) est imatio n is a cost- effect ive hybrid est imat io n metho d, w hich is part icularly suitable to the estimat ion of tho se systems w hose str uctures as w ell as parameters are unknow n or changable and is successfully applied in many fields. This paper o verview s the development pr ocess of the MM metho ds, summarizes the ex ist ing MM methods, and at last discusses the pr oblems study orientat ion
Platform: | Size: 199680 | Author: 张成宝 | Hits:

[Compress-Decompress algrithmshigh_ff

Description: H264 decode in VC 9 include sse3 codec 1. install MinGW 2. set executable files path for VC EX. C:\Program Files\MinGW\bin 3. build path name only in ascii code, can not unicode EX. c:\hi_ff264 or d:\hi_ff264 is good 4. Choice register in config.h #define HAVE_MMX 1 #define HAVE_MMX2 1 #define HAVE_SSE 1 #define HAVE_SSSE3 1 5. this code extract from ffmpeg-r26400-swscale-r32676 can decode h.264 profile format 6. my email: fatalfeel@hotmail.com by Jesse stone on Taiwan
Platform: | Size: 420864 | Author: 小誠 | Hits:

[Software EngineeringMeasure-for-Human

Description: 人体运动参数检测是生成人体运动计算机仿真演示和控制拟人机器人运动的主要手段。近年来针对这 种检测方法国内外研究人员展开了广泛的研究。本文介绍了基于模型的人体运动参数检测方法的研究现状, 为人 体仿生学和拟人机器人等领域的科学研究提供依据-Mea sur e for huma n mo tio n par ameter s is a main method to g ener ate computer simulatio n o f human mot ion and t o co nt ro l humano id r obot mot ion. Recently, ex tensive resear ches o n this sensing metho d have been carr ied o ut by abr oad and domestic r esear chers. This paper intro duces pr esent r esear ch status of human motion paramet ers in or der to pro vide refer ences fo r scientific resear ch fields of human bionics, humanoid r obot , etc.
Platform: | Size: 158720 | Author: cp | Hits:

[Software EngineeringHOG

Description: 基于梯度方向直方图( H OG) 特征的行人检测是目前检测精度较高的主流方法。针对基于梯度直方图特征的 行人检测存在检测精度还有待提高、向量维数大的问题, 提出使用梯度直方图统计特征加颜色频率和肤色特征描述行 人, 选取一些分类能力较强的block 作为最后的特征, 使用线性SVM 分类。在INRIA 库上的实验证明, 该方法能有效地 提高检测精度。-H istog r am o f or iented g radient( H OG) based on pedestr ian detect ion is the popular method w ith t he hig hest detection rat e curr ent ly. To further im pr ove its detection r ate and decrease its larg e dimensions o f feat ur es, this paper in􀀁 tegr ates HOG w ith color frequent and skin colo r feature to descr ibe pedestr ian, w e select some blo ck features w ith better classify ing ability as t he final featur e, then use linear SVM as our classifier. T he ex per iment o n INRIA demo nstr ates t he hig h detection r ate of our met ho d.
Platform: | Size: 17686528 | Author: | Hits:

[OtherH_264_AVC_RC

Description: 提出了一种新颖的编码特性预测机制,较为充分地利用了视频信源的时空相关性,改进了率失真建模的 有效性 利用Lagrangian优化理论推导出两种率失真优化的位分配方案,并实现了相应的码率控制算法,即线性模 型算法和二次模型算法.大量实验数据表明:线性模型算法和二次模型算法的编码效率基本上相同,而前者的码率 控制能力稍优于后者 和H·264/AVC参考软件中所采用的JVT G012码率控制算法相比,两种新算法在获得更高 编码效率的同时,能够更加准确地控制输出码率. - In this work, a novel coding characteristics prediction scheme is presented to improve R-D modeling, by exploiting spatio-temporal correlations. Two different approaches to the prob- lem of optimum bit allocation at a macroblock-by-macroblock basis are achieved, one of which is developed on a modified MPEG-4 Q2 rate model and the other on a linear rate model. Extensive experiments show that the linear scheme is a bit more accurate than the quadratic one while they achieve similar coding performance. It′s also shown that both the two schemes significantly ex- ceed JVT G012, the current standardized RC scheme.
Platform: | Size: 834560 | Author: K | Hits:

[CADacad2000

Description: === 命令说明====== zq--上一缩放zoom p zd--动态缩放zoom d ze--范围缩放zoom z z--zoom v--移动move c--复制copy q--平移pan t--偏移offset tt--镜像mirror rt--旋转rotate dss--距离dist aa--圆circle g--直线line gg--多段线pline dt--单行文本dtext r--放弃undo rr--重做redo bb--填充bhatch dd--特性匹配matchprop") as--特性ai_propchk(R14) de--线性标注dimlinear dc--连续标注dimcontinue qs--快速保存qsave qe--编辑多段线PEDIT d--特性properties(2000以上) tr--修剪trim ex--延伸extend vv--移动move da--面积周长AREA exx--分解EXPLODE dg--对齐标注dimaligned dq--点坐标id exq--分解explode- ====== Command Description ====== zq- on a zoom zoom p zd- dynamic zoom zoom d ze- range zoom zoom z z- zoom v- move move c- copy copy q- pan pan t- offset offset tt- Mirror mirror rt- rotate rotate dss- distance dist aa- a round circle g- straight line gg- polyline pline dt- a single line of text dtext r- abandon undo rr- redo redo bb- Fill bhatch dd- characteristics match matchprop " ) as- features ai_propchk (R14) de- linear dimension dimlinear dc- Continuous labeling dimcontinue qs- Quick save qsave qe-- Edit polyline PEDIT d- characteristic properties (2000 or more) tr- trim trim ex- extending extend vv- mobile move da- area perimeter AREA exx- decomposition EXPLODE dg- aligned dimension dimaligned dq- point coordinates id exq- decomposition explode
Platform: | Size: 2048 | Author: | Hits:

[Technology ManagementXHQYJSDZS

Description: 为了快速准确地计算电噪声奇异性, 在介绍信号奇异性计算方法的基础上, 将其引入到电噪声信号分 析中, 提出一种新的基于多重分形奇异性指数计算信号电噪声的方法。新方法利用多重分形来提取电噪声中可 以表达信号内在细节特征的奇异点Hê lder指数, 通过计算电噪声中Hê lder指数的差异来进行噪声分析。通过 对实测电迁移和光耦电噪声的计算分析表明, 电迁移后期奇异性指数会发生突变 而良品光耦器件和次品光耦 器件在信号噪声的平均H ê lder指数方面差异明显。实验结果证明本方法是一种快速可靠的电噪声奇异性计算 方法。-In order to computing e lectr ica l no ise singu la rity fast and reliable, propo sed a new mult-i fracta l based e lec trical no ise s ingular computationa lme thod. Used new methods to ex trac tmu lt-i fractal no ise, cou ld be exp ressed in the signa l cha racter istics of the interna l de ta ils o f singu la r po in tsHê lder index by ana ly zing e lec trica l no ise inHê lder index for the difference in no ise ana lys is. Th ismethod o fm ig ration and optocoupler electrical no ise analysis show s thatm ig ra tion, the late singu larity index w ill happen andmutation w ill be a fter the opening o f aluminum good optocoupler devices and faulty dev ices in the average no iseHê lder index significant d ifference. The expermi enta l resu lts show that th ismethod in the e lectrical no ise signa ls in the computation and ana lys is o f very practica .l It is a fast and re liab le electr ica l no ise singu la rity computa tiona lmethod.
Platform: | Size: 345088 | Author: baibai | Hits:

[Otheruva10112

Description: uva 10112 1. 用三個 for 迴圈跑過任三點的組合 2. 再用一個 for 迴圈跑這三點以外的其他點 3. 如果第四點與選定三點之任兩點所圍三角形面積合,等於選定三點的面積,代表第四點在三角形內 ex : △abc = △abd + △acd + △bcd , d在△內 4. 如果符合條件,把面積存起來,用於之後比較面積大小 5. 面積大的取代面積小的 6. 印出面積最大三角形-Passing any combination of uva 10112 1. Three in three for loop 2 and then a for loop to run other point other than these three points 3. If any of the three points of fourth spot with a selected triangle bounded covering an area equal to three of the area selected, representing the fourth point inside the triangle ex: △ abc = △ abd+ △ acd+ △ bcd, d in △ 4. If eligible, the area to save up for later comparison 5. A large area the size of a small area of 6. replace print the largest triangle
Platform: | Size: 1409024 | Author: 蔡侑侖 | Hits:

[Special EffectsBTOJ-EX

Description: 位图转JPG 其中的颜色空间转换,BGR颜色空间转换为YCbCr空间, 1. 要求使用查表法 2. 把切分出的宏块数据(16*48)写入D:/out.txt 3. 按4:2:0进行把BGR颜色空间转换到YCbCr空间, 亮度信号(16*16)写入到D:/outY.txt Cb信号(8*8)写入到D:/outCb.txt Cr信号(8*8)写入到D:/outCr.txt - Bitmap to JPG where the color space conversion, BGR color space into YCbCr space, 1 require the use of look-up table method 2 cut out the macro block data (16*48) to write D:/out.txt 3 press 4:2:0 to convert the BGR color space to YCbCr space, Brightness signal (16*16) to write to D:/outY.txt Cb signal (8*8) to write to D:/outCb.txt Cr signal (8*8) to write to D:/outCr.txt
Platform: | Size: 42364928 | Author: 李小某 | Hits:
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