Stack-based sequential decoder for M-QAM modulated MIMO-type problems, i.e., of fixed tree depth.
标签： Stack-based sequential MIMO-type modulated
上传时间： 2014-01-25
上传用户：515414293
This is a collection of m-files I created to complete a research project into the DC components of various encoding techniques. Eight of the files create random bit sequences that conform to their coding requirements. The others were files I found useful in the scope of the project and supplement the generating m-files.
标签： collection components complete research
上传时间： 2015-12-24
上传用户：lnnn30
Status CreateSMatrix(RLSMatrix &M) { // 创建稀疏矩阵M int i Triple T Status k printf("请输入矩阵的行数,列数,非零元素数：") scanf("％d,％d,％d",&M.mu,&M.nu,&M.tu) M.data[0].i=0 // 为以下比较做准备 for(i=1 i<=M.tu i++) { do {
标签： Status CreateSMatrix RLSMatrix Triple
上传时间： 2013-12-22
上传用户：shanml
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
实现最优二叉树的构造；在此基础上完成哈夫曼编码器与译码器。 假设报文中只会出现如下表所示的字符： 字符 A B C D E F G H I J K L M N 频度 186 64 13 22 32 103 21 15 47 57 1 5 32 20 57 字符 O P Q R S T U V W X Y Z ， ． 频度 63 15 1 48 51 80 23 8 18 1 16 1 6 2 要求完成的系统应具备如下的功能： 1．初始化。从终端（文件）读入字符集的数据信息，。建立哈夫曼树。 2．编码：利用已建好的哈夫曼树对明文文件进行编码，并存入目标文件（哈夫曼码文件）。 3．译码：利用已建好的哈夫曼树对目标文件（哈夫曼码文件）进行编码，并存入指定的明文文件。 4．输出哈夫曼编码文件：输出每一个字符的哈夫曼编码。
上传时间： 2014-11-23
上传用户：shanml
摘要:分析了影响同步电动机矢m:控制电流控制环动态特性的主要因索.指出同步电动机反电动势是 其中最重要的{一扰因索针对通常采用的F I(比例一积分)电流调 y器因下作频带的限制无法在较高转速时 抑制反电动势的影响.提出了前馈补偿和变电流环增益的设计方法.少}应用于基于数-f_信写处理器的矢m:控 制系统给出了系统结构及软硬件设计方案实验结果表明.该系统硬件简的一控制精l夏高.动态}h I能良好（.caj)
上传时间： 2016-05-22
上传用户：奇奇奔奔
i got the PSK.m in the mathworks hope you will like it.
上传时间： 2014-01-11
上传用户：BIBI
求标准偏差 > function c=myfunction(x) > [m,n]=size(x) > t=0 > for i=1:numel(x) > t=t+x(i)*x(i) > end > c=sqrt(t/(m*n-1)) function c=myfunction(x) [m,n]=size(x) t=0 for i=1:m for j=1:n t=t+x(i,j)*x(i,j) end end c=sqrt(t/(m*n-1
标签： gt myfunction function numel
上传时间： 2014-01-15
上传用户：hongmo
求标准偏差 > function c=myfunction(x) > [m,n]=size(x) > t=0 > for i=1:numel(x) > t=t+x(i)*x(i) > end > c=sqrt(t/(m*n-1)) function c=myfunction(x) [m,n]=size(x) t=0 for i=1:m for j=1:n t=t+x(i,j)*x(i,j) end end c=sqrt(t/(m*n-1
标签： gt myfunction function numel
上传时间： 2013-12-26
上传用户：dreamboy36
求标准偏差 > function c=myfunction(x) > [m,n]=size(x) > t=0 > for i=1:numel(x) > t=t+x(i)*x(i) > end > c=sqrt(t/(m*n-1)) function c=myfunction(x) [m,n]=size(x) t=0 for i=1:m for j=1:n t=t+x(i,j)*x(i,j) end end c=sqrt(t/(m*n-1
标签： gt myfunction function numel
上传时间： 2016-06-28
上传用户：change0329
