THIS DESIGN IS PROVIDED TO YOU "AS IS". XILINX MAKES AND YOU RECEIVE NO WARRANTIES OR CONDITIONS, EXPRESS, IMPLIED, STATUTORY OR OTHERWISE, AND XILINX SPECIFICALLY DISCLAIMS ANY IMPLIED WARRANTIES OF MERCHANTABILITY, NON-INFRINGEMENT, OR FITNESS FOR A PARTICULAR PURPOSE. This design has not been verified on hardware (as opposed to simulations), and it should be used only as an example design, not as a fully functional core. XILINX does not warrant the performance, functionality, or operation of this Design will meet your requirements, or that the operation of the Design will be uninterrupted or ERROR free, or that defects in the Design will be corrected. Furthermore, XILINX does not warrant or make any representations regarding use or the results of the use of the Design in terms of correctness, accuracy, reliability or otherwise.
标签： CONDITIONS WARRANTIES YOU PROVIDED
上传时间： 2016-03-21
上传用户：1427796291
法国cromda编写的新版本MATRICE 2（矩阵和矢量运算单元）。 // ---------------------------------------------------------- // 12-01-02 : MODIFIED Matrice to Matrice2 (Delphi 6) // All routines now operate on rectangular matrix, except (InvMat and SysLin) // No more need to use the InitMat procedure (suppressed) : // - the routines detect automaticaly the dimensions of matrix and vector // - ERROR code MatDimNul is generated if zero lines or column in matrix and vector (See DimensionMatrice and DimensionVecteur) // - ERROR code MatMauvDim is generated if the dimensions of matrix/vector don t allow valid result // - // The result matrix is dimensioned automaticaly
上传时间： 2014-01-23
上传用户：sy_jiadeyi
Just what is a regular expression, anyway? Take the tutorial to get the long answer. The short answer is that a regular expression is a compact way of describing complex patterns in texts. You can use them to search for patterns and, once found, to modify the patterns in complex ways. You can also use them to launch programmatic actions that depend on patterns. A tongue-in-cheek comment by programmers is worth thinking about: "Sometimes you have a programming problem and it seems like the best solution is to use regular expressions now you have two problems." Regular expressions are amazingly powerful and deeply expressive. That is the very reason writing them is just as ERROR-prone as writing any other complex programming code. It is always better to solve a genuinely simple problem in a simple way when you go beyond simple, think about regular expressions. Tutorial: Using regular expressions
标签： expression the tutorial regular
上传时间： 2013-12-19
上传用户：sardinescn
（五）测试数据：n=0 n=-1 n=2 a 1 2 a 2 3 a 3 4 d 3 5 n=2 a 1 5 a 2 10 d 1 15 a 3 20 a 4 25 a 5 30 d 2 35 d 4 40 e 0 0 （六）测试结果：ERROR ERROR 没付钱，没停就走了 第一辆车付50元 第二辆车付125元 第三辆车没出来 第四辆车付25元 第五辆车没进入
上传时间： 2014-02-08
上传用户：wfeel
The jacobi.f program solves the Helmholtz equation on a regular mesh, using an iterative Jacobi method with over-relaxation. Parallelism is exploited in both the solver and the numerical ERROR checking
标签： Helmholtz iterative equation program
上传时间： 2016-04-03
上传用户：杜莹12345
测试光纤通信误码率 采用串口RS232接口，与下位机相连，中间通过光纤传输，光电转换来测试光纤通信误码率 VC6.0编译通过-fiber code ERROR testing
上传时间： 2016-04-04
上传用户：wangchong
A digital fi‘equeney meter designed with FPGA development software Q-~us 11 is introduced．The 1 Hz—l MHz input measured pulse signals of the digital ii‘equency meter can be used for measuring frequency，period，pulse width and duty ratio，etc．The test results stably display O71 3 seven—segment numeric tubes，and the measuring ranges may be switched over automatically．The measuring ERROR is equal to or less than 0．1％．
标签： development introduced designed software
上传时间： 2016-04-09
上传用户：stewart·
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
基于BP神经网络的 参数自学习控制 （1）确定BP网络的结构，即确定输入层节点数M和隐含层节点数Q，并给出各层加权系数的初值 和 ，选定学习速率 和惯性系数 ，此时k=1； （2）采样得到rin(k)和yout(k)，计算该时刻误差ERROR(k)=rin(k)-yout(k)； （3）计算神经网络NN各层神经元的输入、输出，NN输出层的输出即为PID控制器的三个可调参数 ， ， ； （4）根据(3.34)计算PID控制器的输出u(k)； （5）进行神经网络学习，在线调整加权系数 和 ，实现PID控制参数的自适应调整； （6）置k=k+1，返回（1）。
上传时间： 2016-04-26
上传用户：无聊来刷下
runs Kalman-Bucy filter over observations matrix Z for 1-step prediction onto matrix X (X can = Z) with model order p V = initial covariance of observation sequence noise returns model parameter estimation sequence A, sequence of predicted outcomes y_pred and ERROR matrix Ey (reshaped) for y and Ea for a along with inovation prob P = P(y_t | D_t-1) = evidence
标签： matrix observations Kalman-Bucy prediction
上传时间： 2016-04-28
上传用户：huannan88
