登录
首页 » matlab » BER--SNR--BER-plot-for-BPSK

BER--SNR--BER-plot-for-BPSK

于 2011-11-18 发布 文件大小:142KB
0 268
下载积分: 1 下载次数: 90

代码说明:

  Code matlab: BER,SER,SNR in cooperation network

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

  • kmeans
    clustering using kmeans. Good for HMM
    2013-03-19 15:58:33下载
    积分:1
  • PESGM2008-000135
    Its a IEEE Pesgm 08 paper.
    2013-12-03 18:13:12下载
    积分:1
  • chmmbox_1_2
    CHMMBOX, version 1.2, Iead Rezek, Oxford University, Feb 2001 Matlab toolbox for max. aposteriori estimation of two chain Coupled Hidden Markov Models. (CHMMBOX, version 1.2, Iead Rezek, Oxford University, Feb 2001 Matlab toolbox for max. aposteriori es timation of two chain Coupled Hidden Markov Mod els.)
    2007-03-26 22:29:08下载
    积分:1
  • shearlet
    主要讲解剪切波最新有关的资料或论文,其用于图像处理方面的应用(The main shear-wave on the latest relevant information or thesis, and its used for image processing applications)
    2009-03-21 20:16:22下载
    积分:1
  • mallat
    对一维语音信号进行分解和重构运算,最后比较原信号与生成信号的区别(On the one-dimensional speech signal decomposition and reconstruction operations, and finally compare the original signal and the difference between the signal generated)
    2010-05-12 09:35:51下载
    积分:1
  • logistic-henon
    matlab 混沌函数 logistic henon 映射(matlab chaotic function logistic henon map)
    2021-02-20 16:19:43下载
    积分:1
  • 10100901
    Hand gesture recognition system using image processing
    2020-06-22 13:40:02下载
    积分:1
  • Alamouti
    说明:  发射分集alamouti编码,并与无分集时比较,有明显性能提高(Alamouti coding transmit diversity, and diversity when compared with no, there are clear performance improvement)
    2011-04-05 20:05:28下载
    积分:1
  • MATLAB
    MATLAB函数参考手册,查看matlab函数作用以及功能。( SVMLSPex02.m Two Dimension SVM Problem, Two Class and Separable Situation Difference with SVMLSPex01.m: Take the Largrange Function (16)as object function insteads ||W||, so it need more time than SVMLSex01.m Method from Christopher J. C. Burges: "A Tutorial on Support Vector Machines for Pattern Recognition", page 9 Objective: min "f(A)=-sum(ai)+sum[sum(ai*yi*xi*aj*yj*xj)]/2" ,function (16) Subject to: sum{ai*yi}=0 ,function (15) and ai>=0 for any i, the particular set of constraints C2 (page 9, line14). The optimizing variables is "Lagrange Multipliers": A=[a1,a2,...,am],m is the number of total samples.)
    2011-04-27 14:27:35下载
    积分:1
  • RLS1234567890
    Recursive least squares递归最小二乘算法(Recursive least squares)
    2013-04-30 20:44:51下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载