AT91SAM7SE512 Boundary-Scan Description files (BSD)for LQFP 128 and LFBGA 144 packages.
标签： Boundary-Scan Description packages LFBGA
上传时间： 2016-04-03
上传用户：zhliu007
AT91SAM7S64_TQ64_bsd.zip Boundary-Scan Description file (BSD) for the AT91SAM7S64 in LQFP 64 package.
标签： 64 Boundary-Scan Description SAM
上传时间： 2013-12-19
上传用户：hasan2015
AT91SAM7S256_TQ64_bsd.zip Boundary-Scan Description file (BSD) for the AT91SAM7S256 in LQFP 64 package.
标签： Boundary-Scan Description 256 SAM
上传时间： 2013-12-18
上传用户：libenshu01
最大李雅普诺夫指数的计算 该函数用来计算时间序列的最大Lyapunov 指数--Wolf 方法 ％ m: 嵌入维数 ％ tau:时间延迟 ％ data:时间序列 ％ N:时间序列长度 ％ P:时间序列的平均周期,选择演化相点距当前点的位置差，即若当前相点为I，则演化相点只能在|I－J|>P的相点中搜寻
上传时间： 2013-12-10
上传用户：hewenzhi
快跳频通信毕业论文 含ppt幻灯、m仿真、doc论文
上传时间： 2013-12-31
上传用户：Pzj
Gold序列是基于m序列优选对产生的，是由两个长度相同、速率相同、但码字不同的m序列优选对模2加后得到的，一对长度为N的m序列优选对可以产生N＋2条Gold码。
上传时间： 2016-04-10
上传用户：lingzhichao
用于DVB的OFDM源代码.包含代码DVB_T2Ksignalgeneration.m OFDMReception.m OFDMTransmission.m等
标签： Ksignalgeneration OFDMTransmission OFDMReception DVB_T
上传时间： 2016-04-10
上传用户：小草123
IMM_Kalman_Filter.m IMM_Kalman_Filter程序
标签： IMM_Kalman_Filter 程序
上传时间： 2013-12-13
上传用户：xmsmh
Pixel Labeled Algorithm Based on Recursive M ethod of Connecting Area in Binary Images
标签： Connecting Algorithm Recursive Labeled
上传时间： 2013-12-08
上传用户：refent
In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar -xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets.
标签： Rauch-Tung-Striebel algorithm smoother which
上传时间： 2016-04-15
上传用户：zhenyushaw
