登录
首页 » matlab » UWB_analysis1

UWB_analysis1

于 2010-09-19 发布 文件大小:4KB
0 228
下载积分: 1 下载次数: 4

代码说明:

  Plots time and frequency domains of UWB PPM monocycles and doublets with basic correlation receiver.

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

  • fir1_lab
    fir lab implemeting on c6713
    2009-05-23 15:10:34下载
    积分:1
  • hide
    matlab程序,可以将信息隐藏在每个字节的LSB中(hide message in lsb of every byte)
    2010-12-18 19:30:26下载
    积分:1
  • 5e2f448190a4
    mimo folder is this one , goood to help u
    2013-01-18 16:33:10下载
    积分:1
  • HHT
    hht精华讨论 感觉很不错的 要用到hht的朋友可以下来看看 pdf文档哦!!(the hht Digest discuss feeling very good use hht friends can look down )
    2012-11-25 21:55:12下载
    积分:1
  • RandomQSort
    随机快速算法与确定性快速算法的比较,可设置数组大,小包含有实验报告(Fast Algorithm for Stochastic Fast Algorithms and certainty, you can set an array of big and small contain Experimental Report)
    2010-02-10 17:53:34下载
    积分:1
  • TurboDecode
    说明:  完整的Turbo编码解码,完整的Turbo编码解码(Turbo encoding and decoding full and complete Turbo codec)
    2011-03-13 16:08:42下载
    积分:1
  • compensation
    说明:  用于实现语音中的对消噪声,本程序用matlab实现(For the voice in noise cancellation, the program achieved with matlab)
    2010-04-13 19:58:39下载
    积分:1
  • fftKernels
    new kernel fast Fourier transform
    2012-09-10 22:48:06下载
    积分:1
  • crb-and-rmse
    雷达交叉定位精度分析,CRB界确定,寻求最远定位距离!(Radar cross positioning accuracy analysis, CRB sector determined to seek the farthest distance positioning!)
    2021-04-23 18:08:52下载
    积分:1
  • PDV-algorithm
    用于分类的主判别变量算法(principal discriminant variate algorithm) ( principal discriminant variate algorithm for two classes, x1 and x2. x1 is the training samples in the 1st class with each column being the spectrum characterizing the corresponding sample. x2 is the training samples in the 2nd class with each column being the spectrum characterizing the corresponding sample. lamda is the penalty weight defining the balance between FLDA and PCA. dvnum is the number of principal discriminant variates to be computed. A defaul value for dvnum is 2. dv is the principal discriminant variates. scores is the matrix with each row being the scores of the samples on the corresponding principal discriminant variate. xmean is the mean spectra of the sample, which was used for mean-centering the data in training and prediction. )
    2013-12-15 19:59:43下载
    积分:1
  • 696516资源总数
  • 106913会员总数
  • 8今日下载