登录
首页 » matlab » shiyu

shiyu

于 2010-02-02 发布 文件大小:58KB
0 223
下载积分: 1 下载次数: 127

代码说明:

  振动信号时域处理办法,包括低通、带通滤波和频域积分法(Time-domain vibration signal processing options, including low-pass, band-pass filtering and frequency-domain integral method)

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

  • chaper3
    非常不错的书籍,《微粒群算法》供8章和2个附录,依次上传第3章绪论(Very good books, Particle Swarm Optimization for 8 chapters and two appendices, followed by From Chapter 3 Introduction)
    2008-12-20 11:36:43下载
    积分:1
  • RF-Design-and-Analysis(3)
    射频方面的资料,里面有详细的M文件,希望对大家有用。(Radio frequency information, there are detailed paper M, in the hope that useful to everyone.)
    2007-11-11 12:15:45下载
    积分:1
  • MC2
    Mie散射算法的实现,用于Mie散射研究和激光探测(Mie scattering algorithm for the Mie scattering and laser detection)
    2009-06-23 11:26:58下载
    积分:1
  • Reconaissance-voyelle
    Pattern recognition of vowels
    2013-01-19 23:38:12下载
    积分:1
  • ULA
    简单的均匀加权线阵的仿真,有出方向图,权值与入射信号干扰噪声都无关,直接就是【1,1,1……】(a simple simulation of ULA)
    2014-11-04 14:34:54下载
    积分:1
  • svm
    It denotes how to use SVM classifier
    2010-08-30 21:41:25下载
    积分:1
  • route
    说明:  wsn路由,用matlab仿真,具有选簇的功能(WSN routing, using matlab simulation, with the election of the functional cluster)
    2008-10-28 13:54:47下载
    积分:1
  • houghl1
    编码实现Hough变换算法,最基本的Hough变换检测直线方法,可以实现(achieve to detect lines)
    2011-05-19 16:53:27下载
    积分:1
  • ModalANALZ
    modal analysis for two machine Kundor System
    2012-10-10 22:04:35下载
    积分:1
  • LMS
    最小均方(LMS)自适应算法就是一中已期望响应和滤波输出信号之间误差的均方值最小为准的,依据输入信号在迭代过程中估计梯度矢量,并更新权系数以达到最优的自适应迭代算法。LMS算法是一种梯度最速下降方法,其显著的特点是它的简单性。这算法不需要计算相应的相关函数,也不需要进行矩阵运算。(Minimum mean-square (LMS) adaptive algorithm is that one has to respond to the expectations and filtering the output signal of the mean square error between the value of the minimum-based, based on the input signal is estimated in the iterative process of gradient vector, and to update the weights in order to achieve the most Adaptive iterative algorithm gifted. LMS algorithm is a steepest descent gradient method, and its significant features is its simplicity. This algorithm does not require calculation of the corresponding correlation function, nor the need for matrix calculation.)
    2008-05-26 12:05:15下载
    积分:1
  • 696518资源总数
  • 106010会员总数
  • 4今日下载