登录
首页 » matlab » IncrementalProtocolSymetricNetwork

IncrementalProtocolSymetricNetwork

于 2010-11-22 发布 文件大小:1KB
0 202
下载积分: 1 下载次数: 36

代码说明:

  a system containing one source, one relay and one destination, the file describe th incremental protocol with Decode and forward.

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • AntColonyOptimization
    包括蚁群优化算法,梯度优化算法两个文档。(Including ant colony optimization algorithms, gradient optimization algorithm the two documents.)
    2008-04-23 10:26:18下载
    积分:1
  • kalman_filter11
    kalman滤波,matlab实现————————————————(kalman filtering, matlab achieve----------------)
    2010-02-01 19:40:07下载
    积分:1
  • motionEstTSS
    matlab下编写的三步快速搜索法,希望大家有用(Three Step Search Algorithm)
    2010-05-07 07:18:58下载
    积分:1
  • good-at-matlab6.5
    清晰易懂的MATLAB学习资料,描述了如何使用MATLAB解决各种实际问题(Clear and understandable information to learn MATLAB, describes how to use MATLAB to solve practical problems)
    2011-09-03 23:00:55下载
    积分:1
  • 44
    说明:  is a small example of how to use a slider and observe and enter the current value in the slider
    2013-12-10 02:13:24下载
    积分:1
  • antenna-arraying-
    非均匀天线组阵SUMPLE权值信噪比及信号合成性能分析(Non-uniform antenna arraying SUMPLE weights SNR performance analysis and signal synthesis)
    2020-06-30 06:20:02下载
    积分:1
  • cyclostationspectrum-estimation-
    循环平稳信号的空间谱估计课件,应该对大家有帮助(Spatial spectrum estimation cyclostationary signals)
    2014-03-24 22:08:55下载
    积分:1
  • Minimum-Risk-Bayes-classifier
    这是模式识别中最小风险Bayes分类器的设计方案。在参考例程的情况下,自行完善了在一定先验概率的条件下,男、女错误率和总错误率的统计,放入各个数组当中。 全部程序由主函数、最大似然估计求取概率密度子函数、最小错误率贝叶斯分类器决策子函数三块组成。 调用最大似然估计求取概率密度子函数时,第一步获取样本数据,存储为矩阵;第二步对矩阵的每一行求和,并除以样本总数N,得到平均值向量;第三步是应用公式(3-43)采用矩阵运算和循环控制语句,求得协方差矩阵;第四步通过协方差矩阵求得方差和相关系数,从而得到概率密度函数。 调用最小风险贝叶斯分类器决策子函数时,根据先验概率,再根据自行给出的5*5的决策表,通过比较概率大小判断一个体重身高二维向量代表的人是男是女,放入决策数组中。 主函数第一步打开“MAIL.TXT”和“FEMALE.TXT”文件,并调用最大似然估计求取概率密度子函数,对分类器进行训练。第二步打开“test2.txt”,调用最小风险贝叶斯分类器决策子函数,然后再将数组中逐一与已知性别的数据比较,就可以得到在一定先验概率条件下,决策表中不同决策的错误率的统计。 (This is a pattern recognition classifier minimum risk Bayes design .In reference to the case of routine , self- improvement in a certain a priori probability conditions, male , female and total error rate error rate statistics , into which each array . All programs from the main function , maximum likelihood estimation subroutine strike probability density , the minimum error rate Bayesian classifier composed of decision-making three subfunctions . Strike called maximum likelihood estimate probability density subroutine , the first step to obtain the sample data , stored as a matrix the second step of the matrix, each row sum , and divided by the total number of samples N, be the average vector The third step is the application of the formula ( 3-43 ) using matrix and loop control statements , obtain the covariance matrix fourth step through the variance-covariance matrix and correlation coefficient obtained , resulting in the probability density function . Bayesian classifier )
    2012-02-02 20:37:04下载
    积分:1
  • MATLABR2008_6
    《MATLAB R2008图形与动画编程实例教程》的源代码--第六章(" MATLAB R2008 examples of graphics and animation programming tutorial" source code- Chapter VI)
    2010-06-08 21:14:29下载
    积分:1
  • powelalgorithm
    一种传统搜索优化算法 不需要对目标函数求导 得到很好的优化效果(A traditional search algorithm does not need to differentiate the objective function ,also gets well optimized results)
    2010-05-05 21:33:09下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载