登录
首页 » matlab » TSmart

TSmart

于 2011-01-27 发布 文件大小:1KB
0 279
下载积分: 1 下载次数: 4

代码说明:

  matlab coade source for smart antenna for the simutalion of smart antenna in matlab

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

  • RS(244_212)
    一款RS缩短码的源代码,可修改其中主程序的数据变任意一种RS码的编码器,此程序经多次验证均正确,且采用标准代码格式描写,易读。(A shortened RS code source code, which can modify data in the main program code change any of the RS encoder, this procedure has been repeatedly verified are correct, and the use of standard code format description, easy to read.)
    2021-02-18 16:49:45下载
    积分:1
  • One_Dimensional_PML
    programme matlab 1D pml
    2010-05-06 21:44:01下载
    积分:1
  • singlepath
    自己写的关于单径的MATLAB FADING信道仿真,很不容易写出来的 大家参考参考啊(himself wrote on the single-track MATLAB FADING channel simulation, very easy to write down all the information. ah)
    2006-12-18 15:14:41下载
    积分:1
  • xianxingtiaopin
    消除信号wigner-ville时频分布中的交叉项问题(Eliminate signal wigner ville- cross terms of time-frequency distribution problem)
    2015-04-04 18:52:11下载
    积分:1
  • C4.5决策树
    C4.5决策树的MATLAB实现。内有英文和中文混合注释(C4.5 Decision Tree It has English and Chinese Both Zhu Shi)
    2017-06-25 21:18:55下载
    积分:1
  • SISO-OFDMSystem
    OFDM系统的仿真代码MATLAB环境下(OFDM system simulation environment MATLAB code)
    2008-04-24 17:50:37下载
    积分:1
  • Mur_FDTD_1Ds_Trst
    FDTD时域差分 边界MUR MATLAB编程(Difference time domain FDTD boundary MUR MATLAB Programming)
    2011-05-12 20:08:06下载
    积分:1
  • bandpss
    带通滤波器的matlab实现,能够滤掉低频以及高频分量(bandpass filter matlab realise bandpass filter matlab realise bandpass filter matlab realise bandpass filter matlab realise bandpass filter matlab realise )
    2013-11-19 23:59:25下载
    积分:1
  • knn
    一个小小的knn-demo,先用knn 做分类器进行分类,再去验证正确率(A small knn-demo, first with knn Do classifier, go to verify that the correct rate)
    2014-12-23 21:29:51下载
    积分:1
  • texture-analysis-using-dwt-for-grape-plant-specie
    Texture Analysis Using DWT for Grape Plant Species Classification:- By observing leaf, we can easily identify plant but it is difficult to identify its species. In this project we developed an algorithm that gives user the ability to identify plant species based on photographs of the leaf. The core theme of this application is an algorithm that acquires statistical features of the leaves, and then classifies the species based on a novel combination of the computed texture feature analysis and wavelet analysis. While implementing this algorithm we have considered the Grape plant and its four species viz. Clone, Sonaka, Thomson and Manik. The algorithm is first trained against several samples of known plant species and then used to classify unknown query species. By using this algorithm we have achieved 93.33 efficiency
    2015-01-01 15:26:38下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载