％求输入一维信号的计盒分形维数 ％y是一维信号 ％cellmax:方格子的最大边长,可以取2的偶数次幂次(1,2,4,8...),取大于数据长度的偶数 ％D是y的计盒维数（一般情况下D>=1）,D=lim(LoG(N(e))/LoG(k/e)),
上传时间： 2013-12-13
上传用户：671145514
一个实现程序日志功能的com组件，在程序中直接调用即可实现操作或数据的LoG文件写入操作，大小组件自动维护
上传时间： 2014-08-31
上传用户：jackgao
3、使用如下命令更改密码： shell> mysqladmin -u root -p password ‘newpass’ Enter Password:******* 出现Enter Password的提示后输入原来的密码oldpass即可。 读者可以尝试其它所有本章介绍的方法。 4、首先以root用户的身份连接到服务器： shell> mysql -u root -p Enter password:******* 出现Enter password提后输入root用户的密码，然后即进入mysql客户机的交互模式，可以看到下面的提示： Welcome to the MySQL monitor. Commands end with or \g. Your MySQL connection id is 4 to server version: 3.23.25-beta-LoG Type help or \h for help. Type \c to clear the buffer mysql> 然后发布查询，直接键入题目中的语句： mysql> SELECT User,Host FROM mysql.user
标签： Enter mysqladmin Password password
上传时间： 2016-03-17
上传用户：talenthn
基于DSP平台实现turbo码Max_LoG_MAP算法，基于标准C 语言研究 了Turbo 码Max - LoG - MAP 译码算法的软件编程与实现,为了提高程序的运行效率,结合TMS320C6000 系列DSP 芯片 的结构与特点采用循环展开、数据的存取优化设计、算法改进等措施进行了代码优化,给出了测试结果，非常值得一看
标签： Max_LoG_MAP turbo DSP 算法
上传时间： 2014-01-11
上传用户：
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
This LDPC software is intended as an introduction to LDPC codes computer based simulation. The pseudo-random irregular low density parity check matrix is based on Radford M. Neal’s programs collection, which can be found in [1]. While Neal’s collection is well documented, in my opinion, C source codes are still overwhelming, especially if you are not knowledgeable in C language. My software is written for MATLAB, which is more readable than C. You may also want to refer to another MATLAB based LDPC source codes in [2], which has different flavor of code-writing style (in fact Arun has error in his LoG-likelihood decoder).
标签： LDPC introduction simulation software
上传时间： 2014-01-14
上传用户：大融融rr
本程序是一个行计算器（即对表达式求值）。计算器能实现加、减、乘、除、取余（％）和乘方（^）运算；能实现三角函数（正弦函数sin和余弦函数cos），求10为底的对数LoG，求2为底的对数ln，求e的指数幂exp，其参数也可以是合法的表达式； 计算器并能对表达式的合法性进行测试，错误的能给出表达式错误的信息。 ] 输入文件格式：第一行是一个正整数N，表示有多少行表达式。接下来的N行每一行是 一个表达式。表达式使用由浮点数（只用小数点表示）和运算符表示。 输出格式：每个行输出一个表达式的结果（浮点输出结果使用小数点表示法表示，）
上传时间： 2016-05-27
上传用户：aeiouetla
包含附件中的头文件，就可以在出LoG时，将LoG写到文件中，方便调试。
上传时间： 2013-12-22
上传用户：lmeeworm
％ EM algorithm for k multidimensional Gaussian mixture estimation ％ ％ Inputs: ％ X(n,d) - input data, n=number of observations, d=dimension of variable ％ k - maximum number of Gaussian components allowed ％ ltol - percentage of the LoG likelihood difference between 2 iterations ([] for none) ％ maxiter - maximum number of iteration allowed ([] for none) ％ pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) ％ Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) ％ ％ Ouputs: ％ W(1,k) - estimated weights of GM ％ M(d,k) - estimated mean vectors of GM ％ V(d,d,k) - estimated covariance matrices of GM ％ L - LoG likelihood of estimates ％
标签： multidimensional estimation algorithm Gaussian
上传时间： 2013-12-03
上传用户：我们的船长
This LDPC software is intended as an introduction to LDPC codes computer based simulation. The pseudo-random irregular low density parity check matrix is based on Radford M. Neal’s programs collection, which can be found in [1]. While Neal’s collection is well documented, in my opinion, C source codes are still overwhelming, especially if you are not knowledgeable in C language. My software is written for MATLAB, which is more readable than C. You may also want to refer to another MATLAB based LDPC source codes in [2], which has different flavor of code-writing style (in fact Arun has error in his LoG-likelihood decoder).
标签： LDPC introduction simulation software
上传时间： 2014-12-05
上传用户：change0329
