角度傳感器KMZ241andUZZ9000和fas-g，F(xiàn)AS-G結(jié)合了一個(gè)角速度陀螺儀和兩個(gè)正交DC 加速度計(jì), 多路(復(fù)用)器, 12 位A/D變換器,微控制器, 和D/A變換器以提供在動(dòng)態(tài)和靜態(tài)環(huán)境中和傾斜度成線性比例的模擬電壓.
標(biāo)簽： andUZZ fas-g 9000 KMZ
上傳時(shí)間： 2016-04-11
上傳用戶：vodssv
功能簡(jiǎn)化版僅實(shí)現(xiàn)非?；镜墓δ?，Serverlet應(yīng)用的樣品、每月出一新版本。 此版本為深圳JSP技術(shù)盈盈論壇-UTF8版本 Beta0.1 build20070707功能修正版。 先進(jìn)技術(shù)以人為本，安全穩(wěn)定盈盈論壇 管理在/Admin/目錄下，用戶：admin 密碼：admin 【十分重要提示】 安裝前設(shè)定/mBase/Config.jsp中BaseDB的安裝目錄值 如本站社區(qū)在http://www.szpay.cn/bbs/下則BaseDB＝"bbs/"； 關(guān)注JSP技術(shù)網(wǎng)站：http://www.szpay.cn 本站將公開更多JSP技術(shù)的程序及源代碼 版本 1.0
標(biāo)簽：
上傳時(shí)間： 2013-12-09
上傳用戶：lanhuaying
學(xué)生信息管理系統(tǒng) 添加班級(jí)信息 添加課程信息 添加成績(jī)信息 添加學(xué)籍信息 添加用戶 查詢成績(jī)信息 查詢學(xué)籍信息 修改班級(jí)信息 修改課程信息 修改成績(jī)信息 修改學(xué)籍信息 設(shè)置年級(jí)課程信息
標(biāo)簽： 修改 查詢 信息管理系統(tǒng) 加班
上傳時(shí)間： 2016-04-14
上傳用戶：Shaikh
華恒科技 HHCF5249-R3 技術(shù)手冊(cè) 第一章 產(chǎn)品簡(jiǎn)介 第二章 軟件系統(tǒng) 第三章 硬件系統(tǒng) 第四章 機(jī)械特性 第五章 底板的硬件設(shè)計(jì) 第六章 售后服務(wù)及技術(shù)支持 附錄 附錄A 初始化 附錄B LINUX 常見術(shù)語(yǔ) 附錄C 常用LINUX 命令 附錄D GCC 與GDB 附錄E MAKEFILE 附錄F UCLINUX 系統(tǒng)分析 uClinux 簡(jiǎn)介 uClinux 小型化的做法 uClinux 的開發(fā)環(huán)境 uClinux 的內(nèi)存管理 工具及內(nèi)核 附錄G 圖形界面（GUI）接口函數(shù)API 附錄H 參考資料
標(biāo)簽： HHCF 5249 華恒科技 產(chǎn)品簡(jiǎn)介
上傳時(shí)間： 2013-12-24
上傳用戶：a6697238
This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
標(biāo)簽： sequential reversible algorithm nstrates
上傳時(shí)間： 2014-01-18
上傳用戶：康郎
This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar -xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
標(biāo)簽： reversible algorithm the nstrates
上傳時(shí)間： 2014-01-08
上傳用戶：cuibaigao
The algorithms are coded in a way that makes it trivial to apply them to other problems. Several generic routines for resampling are provided. The derivation and details are presented in: Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas and Eric Wan. The Unscented Particle Filter. Technical report CUED/F-INFENG/TR 380, Cambridge University Department of Engineering, May 2000. After downloading the file, type "tar -xf upf_demos.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "demo_MC" for the demo.
標(biāo)簽： algorithms problems Several trivial
上傳時(shí)間： 2014-01-20
上傳用戶：royzhangsz
3.0V至5.5V、低功耗、1Mbps、真RS-232收發(fā)器，使用四只0.1µ F外部電容.
上傳時(shí)間： 2016-04-17
上傳用戶：壞壞的華仔
倍頻鎖頻，VHDL程序，運(yùn)行正確，可修改性強(qiáng)，最優(yōu)處理
上傳時(shí)間： 2013-12-28
上傳用戶：ANRAN
void III_hufman_decode(struct Granule *gr,int part2_start, int freqline[SBLIMIT][SSLIMIT]) { unsigned int reg1, reg2,i unsigned int part3_length = part2_start + gr->part2_3_length unsigned used int h,*f=&freqline[0][0] if(gr->window_switching_flag && gr->block_type == 2) { /* short block regions */ reg1 = 36 reg2 = 576 } else { /* long block regions */ reg1 = sfBandIndex[fr_ps.header->sampling_frequency].l[gr->region0_count + 1] reg2 = sfBandIndex[fr_ps.header->sampling_frequency].l[gr->region0_count + gr->region1_count + 2] }
標(biāo)簽： III_hufman_decode int freqline Granule
上傳時(shí)間： 2013-12-19
上傳用戶：jjj0202
蟲蟲下載站版權(quán)所有 京ICP備2021023401號(hào)-1
