登录
首页 » matlab » sparse-coprime-

sparse-coprime-

于 2020-07-10 发布
0 221
下载积分: 1 下载次数: 40

代码说明:

说明:  sparse coprime array direction of arrival

文件列表:

sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865, 0 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\3rd party functions, 0 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\3rd party functions\BeampatternLinearArray.m, 1562 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\3rd party functions\CoprimeArrayAnalysis.m, 4383 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\3rd party functions\FullArrayAnalysis.m, 3046 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\3rd party functions\NestedArrayAnalysis.m, 4376 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\3rd party functions\ProdMinMUSIC.m, 5084 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\3rd party functions\ProductMinBeampattern.m, 1955 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\3rd party functions\RUNtemporalFT.m, 71 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\3rd party functions\coarrayTotal.m, 1243 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\3rd party functions\directionEstimates.m, 10539 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\3rd party functions\ifourierTrans.m, 473 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\3rd party functions\temporalFT.m, 897 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\README.md, 1459 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results, 0 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis, 0 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_, 0 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures, 0 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Minimum, 0 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Minimum\2_100_1.fig, 56518 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Minimum\2_100_10.fig, 28893 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Minimum\2_100_11.fig, 48801 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Minimum\2_100_12.fig, 24647 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Minimum\2_100_13.fig, 48523 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Minimum\2_100_14.fig, 29224 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Minimum\2_100_15.fig, 32900 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Minimum\2_100_16.fig, 31578 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Minimum\2_100_17.fig, 47908 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Minimum\2_100_18.fig, 23423 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Minimum\2_100_19.fig, 47082 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Minimum\2_100_2.fig, 34709 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Minimum\2_100_3.fig, 41694 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Minimum\2_100_4.fig, 34399 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Minimum\2_100_5.fig, 46905 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Minimum\2_100_6.fig, 25967 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Minimum\2_100_7.fig, 48469 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Minimum\2_100_8.fig, 33445 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Minimum\2_100_9.fig, 39791 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Product, 0 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Product\2_100_1.fig, 57178 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Product\2_100_10.fig, 29385 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Product\2_100_11.fig, 49454 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Product\2_100_12.fig, 24988 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Product\2_100_13.fig, 49380 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Product\2_100_14.fig, 29694 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Product\2_100_15.fig, 33349 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Product\2_100_16.fig, 32116 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Product\2_100_17.fig, 48806 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Product\2_100_18.fig, 23652 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Product\2_100_19.fig, 48050 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Product\2_100_2.fig, 35145 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Product\2_100_3.fig, 42341 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Product\2_100_4.fig, 34879 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Product\2_100_5.fig, 47584 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Product\2_100_6.fig, 26247 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Product\2_100_7.fig, 49136 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Product\2_100_8.fig, 33852 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Figures\Product\2_100_9.fig, 40438 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Minimum, 0 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Minimum\2_100_1.mat, 16835 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Minimum\2_100_10.mat, 6884 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Minimum\2_100_11.mat, 13839 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Minimum\2_100_12.mat, 5704 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Minimum\2_100_13.mat, 13806 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Minimum\2_100_14.mat, 7052 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Minimum\2_100_15.mat, 8254 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Minimum\2_100_16.mat, 7790 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Minimum\2_100_17.mat, 13467 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Minimum\2_100_18.mat, 5374 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Minimum\2_100_19.mat, 13153 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Minimum\2_100_2.mat, 8931 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Minimum\2_100_3.mat, 11431 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Minimum\2_100_4.mat, 8762 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Minimum\2_100_5.mat, 13074 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Minimum\2_100_6.mat, 6080 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Minimum\2_100_7.mat, 13670 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Minimum\2_100_8.mat, 8458 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Minimum\2_100_9.mat, 10761 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Product, 0 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Product\2_100_1.mat, 17046 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Product\2_100_10.mat, 7007 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Product\2_100_11.mat, 14003 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Product\2_100_12.mat, 5804 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Product\2_100_13.mat, 14024 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Product\2_100_14.mat, 7165 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Product\2_100_15.mat, 8383 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Product\2_100_16.mat, 7958 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Product\2_100_17.mat, 13741 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Product\2_100_18.mat, 5475 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Product\2_100_19.mat, 13429 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Product\2_100_2.mat, 9053 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Product\2_100_3.mat, 11548 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Product\2_100_4.mat, 8888 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Product\2_100_5.mat, 13240 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Product\2_100_6.mat, 6149 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Product\2_100_7.mat, 13871 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Product\2_100_8.mat, 8577 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\00001_res_\Product\2_100_9.mat, 10942 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\Old_tables, 0 , 2019-03-30
sparse-coprime-sensor-arrays-60ec3c9a1c2219ddfc896883c09933df546eb865\results\min_prod_analysis\Old_tables\00001_res, 0 , 2019-03-30

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

  • y
    说明:  自适应陷波器,的一种实现方法。乐意欢迎大家分享(Adaptive notch filter, a realization method. Pleased to welcome you to share)
    2010-01-21 14:19:41下载
    积分:1
  • chapter
    说明:  这个文件是为了模拟和预测各种各样的位移和压缩量。 (preditting the displacement)
    2011-03-09 08:09:02下载
    积分:1
  • 451547515154515415
    说明:  基于MATLAB的图像处理与分析,对于学习图像处理方面有很大的帮助,希望大家喜欢(MATLAB based image processing and analysis, image processing, for learning is very helpful, hope you like)
    2010-04-24 20:36:31下载
    积分:1
  • kalman_update
    Kalman filter examples, kalman_update
    2010-08-09 16:31:17下载
    积分:1
  • boost
    BOOT PI CLOSE LOOP CONTOLLER
    2013-10-19 18:20:50下载
    积分:1
  • shipingenzong
    用一种算法 利用matlab语言来编写视频跟踪程序(An algorithm using matlab language used to write the video tracking program)
    2014-02-24 11:41:18下载
    积分:1
  • CS-Channel-Estimation-OMP-Matlab-
    压缩感知信道估计算法(Matlab 代码)(Compressed sensing channel estimation algorithm (Matlab code))
    2014-05-26 15:34:15下载
    积分:1
  • matlabunitroot
    2 matlab files, combining to perform the Augmented Dickey-Fuller unit root test in Matlab. Useful for detecting auto-correlations and check for stationarity in time series, check for spurious regression, etc.
    2013-01-08 17:38:36下载
    积分:1
  • wjlxptztq
    硕士学位论文,基于无线传感器网络的水下目标是吧,连续谱特征提取(Master' s degree thesis, based on wireless sensor networks for underwater target is right, a continuous spectrum feature extraction)
    2011-09-13 21:36:53下载
    积分:1
  • project1.tar
    Finite element code for solving eigen value problem.
    2013-08-29 08:26:28下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载