登录
首页 » matlab » LFM_radar

LFM_radar

于 2016-11-05 发布 文件大小:1KB
0 182
下载积分: 1 下载次数: 6

代码说明:

  线性调频脉冲压缩雷达仿真,出来的图像是目标的位置,可自行调整参数(LFM RADAR)

文件列表:

LFM_radar.m,2594,2015-12-09

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

  • saad3
    saadat power system matlab files
    2012-01-16 16:32:02下载
    积分:1
  • segyoutput
    segy输出小程序,用于地震数据的处理,很有帮助(segy output procedures for the processing of seismic data, and helpful)
    2012-08-17 15:22:34下载
    积分:1
  • Neural-network
    神经网络变量筛选—基于BP的神经网络变量筛选,MATLAB的经典算法(Neural network variable selection- based on BP neural network variable selection, MATLAB classical algorithm)
    2013-10-20 00:04:01下载
    积分:1
  • matlab
    对一个信号文件导入并进行fft变换,显示图形;对信号是否平稳,周期性,采样点数N,有偏无偏处理的估计效果等都做了处理和显示(A signal file is imported and transformed by FFT to display graphics; whether the signal is stable, periodic, sampling point N, the estimation effect of biased and unbiased processing are processed and displayed.)
    2020-09-27 20:47:45下载
    积分:1
  • skin_face_detecting
    This Code was developed from the code tracking red objects. it could be used for tracking faces if the color of the background is not the same color as human skin. This code runs fine even when you use the webcam on PC
    2013-03-14 04:13:16下载
    积分:1
  • 混沌理论计算 互信息计算最佳延迟时间
    混沌理论计算 互信息计算最佳延迟时间,保证可以运行(Mutual information to calculate the optimal delay time to ensure that you can run)
    2014-04-11 12:20:29下载
    积分:1
  • q_learn
    说明:  基于matlab实现强化学习算法中的Q-learning算法,进行训练(The Q-learning algorithm of reinforcement learning algorithm is realized based on MATLAB)
    2021-01-28 22:32:44下载
    积分:1
  • dynamic-meterology-chapter-three
    an introduction to dynamic meterology chapter three matlab所有代码 气象专业经典资料(an introduction to dynamic meterology chapter three matlab)
    2013-12-11 18:36:19下载
    积分:1
  • FOPID参数整定
    基于幅值裕量和相位裕量的FOPID参数整定(FOPID parameter tuning based on amplitude margin and phase margin)
    2017-12-05 15:14:48下载
    积分:1
  • IPCA
    说明:  主成分分析(PCA)的增量实施。 该算法在线更新每个变换系数矩阵新样本,而无需将所有样本保留在内存中。 在某种意义上,该算法在形式上等效于通常的批处理版本给定一个样本,将变换系数设置在末尾过程是相同的。 实时讨论了应用PCA的意义。(Incremental implementation of the principal component analysis (PCA). The algorithm updates the transformation coefficients matrix on-line for each new sample, without the need to keep all the samples in memory. The algorithm is formally equivalent to the usual batch version, in the sense that given a sample set the transformation coefficients at the end of the process are the same. The implications of applying the PCA in real time are discussed with the help of data analysis examples (a sample set is uploaded together with the examples))
    2020-01-12 22:34:24下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载