登录
首页 » matlab » SAR

SAR

于 2020-11-24 发布 文件大小:11803KB
0 264
下载积分: 1 下载次数: 66

代码说明:

  SAR成像算法,有助于理解合成孔径雷达(SAR)成像原理(SAR imaging algorithm helps to understand the principle of synthetic aperture radar (SAR) imaging)

文件列表:

SAR
...\ISAR&SAR.ppt,11237888,2012-05-02
...\onepoint.txt,1519,2012-05-02
...\SAR.m,3430,2012-05-02
...\sar.ppt,339968,2012-05-02
...\sar.rar,266991,2012-05-02
...\单个点目标产生函数.txt,1434,2012-05-02
...\第三次作业.doc,256000,2012-05-02

...\雷达成像第三次作业-刘晓男-MF0923014.docx,159976,2012-05-02
...\雷达成像第三次作业-刘晓男-MF0923014.rar,234304,2012-05-02

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

  • MATLAB_optimization_calculation
    matlab最优化计算,包括多种优化算法。(matlab optimization calculation, including a variety of optimization algorithms)
    2021-03-09 21:59:27下载
    积分:1
  • OF
    说明:  this is matlab code for orthogonal freqency
    2009-04-18 13:18:05下载
    积分:1
  • Desktop
    in this you can serialy transmit date from computer.image is first converted to gray and then transmitted colomn by colomn
    2013-01-01 06:12:56下载
    积分:1
  • Time_FFT_PeakPlot
    Time_FFT_PeakPlot.zip It is a function code.
    2012-04-17 19:33:18下载
    积分:1
  • RSSI
    基于RSSI的无线传感器网络定位,此算法实现RSSI定位(RSSI-based localization for wireless sensor networks)
    2011-05-23 16:02:22下载
    积分:1
  • tftb2002toolbox
    好不容易找到的matlab的时频分析工具箱,添加的方法不说了,里面的工具很全,挺好用的,希望对大家有帮助。(Finally found the time-frequency analysis matlab toolbox, adding that the method, which is full of tools, very good use, and would like to help everyone.)
    2009-05-09 11:04:30下载
    积分:1
  • shepin_jiaocheng
    This model simulates a CDMA2000 1xRTT Forward link (between Base Station and Mobile Station).
    2010-12-09 09:51:11下载
    积分:1
  • ica_for_pid_design
    ica for pid design project
    2014-09-15 02:03:04下载
    积分:1
  • lifted_ILC
    How to implement Itreativ Learning Control(ILC) on a refrigerator.
    2013-03-25 18:45:50下载
    积分:1
  • GM_EM
    不错的GM_EM代码。用于聚类分析等方面。( GM_EM- fit a Gaussian mixture model to N points located in n-dimensional space. Note: This function requires the Statistical Toolbox and, if you wish to plot (for k = 2), the function error_ellipse Elementary usage: GM_EM(X,k)- fit a GMM to X, where X is N x n and k is the number of clusters. Algorithm follows steps outlined in Bishop (2009) Pattern Recognition and Machine Learning , Chapter 9. Additional inputs: bn_noise- allow for uniform background noise term ( T or F , default T ). If T , relevant classification uses the (k+1)th cluster reps- number of repetitions with different initial conditions (default = 10). Note: only the best fit (in a likelihood sense) is returned. max_iters- maximum iteration number for EM algorithm (default = 100) tol- tolerance value (default = 0.01) Outputs idx- classification/labelling of data in X mu- GM centres)
    2013-03-28 12:26:37下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载