登录
首页 » matlab » LMSalgorithm

LMSalgorithm

于 2009-05-05 发布 文件大小:3KB
0 322
下载积分: 1 下载次数: 106

代码说明:

  实现LMS算法的MATLAB仿真,实现自适应波束形成(LMS algorithm to achieve the MATLAB simulation, the realization of adaptive beamforming)

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

  • Splash_Window
    Splash Window. A windows program demo.
    2006-12-04 10:20:12下载
    积分:1
  • hist2
    this is code for making the excel table in matlab for procesing your data.
    2012-05-15 18:26:53下载
    积分:1
  • distributed_signals_DOA_ESPRIT
    基于ESPRIT算法的相干分布式多信号源的DOA估计(Distributed coherent signals DOA estimation based on the ESPRIT algorithm)
    2021-03-25 20:19:13下载
    积分:1
  • visualC_matlabImageProcessing_Sourcecode
    VC++和MATALB混合编程,图象处理(源码)(VC++ and MATALB mixed programming, image processing (source code))
    2010-07-18 11:30:59下载
    积分:1
  • EOF
    经验正交函数分析方法,是一种分析矩阵数据中的结构特征,提取主要数据特征量的一种方 法。常用于海洋、气象专业。(Empirical orthogonal function analysis method is an analysis of the data structure of the matrix, a method of extracting the main characteristics of the data volume. Commonly used in the marine, meteorology profession.)
    2013-12-19 13:26:49下载
    积分:1
  • shibei
    matlab写的数字识别程序,功能基本完成Demo1(matlab write digital identification Demo1)
    2014-02-07 16:45:54下载
    积分:1
  • NOMA-CR-SWIPT
    完成NOMA仿真分析,通过仿真确定自己的优化变量,进行性能分析(Completion of NOMA simulation analysis)
    2018-05-06 11:27:45下载
    积分:1
  • SPARSE-AND-LOW-RANK
    稀疏和低秩矩阵分解。 This paper focuses on the algorithmic improvement for the sparse and low-rank recovery.( Sparse and Low-Rank Matrix Decomposition Via Alternating Direction Methods.The problem of recovering the sparse and low-rank components of a matrix captures a broad spectrum of applications. )
    2012-04-07 12:30:30下载
    积分:1
  • Signals-and-Systems-Analysis
    介绍信号与系统分析的内容并应用matlab实现(The introduced signal and system analysis and application of matlab)
    2013-04-08 10:06:57下载
    积分:1
  • UNANR_Matlab
    There is a trend to develop blind or semi-blind source extraction algorithms based on second-order statistics, due to its low computation load and fast processing speed. An important and primary work is done by Barros and Cichocki, who propose an extraction algorithm based on a time delay. The algorithm is simple and fast, but its performance is not satisfying. The paper extends their work and proposes a robust algorithm based on eigenvalue decomposition of several delayed covariance matrices. It is faster and has better performance, which is conˉrmed by theoretical analysis and computer simulations.
    2015-03-01 18:01:49下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载