登录
首页 » matlab » chapter2-10

chapter2-10

于 2009-10-11 发布 文件大小:10504KB
0 159
下载积分: 1 下载次数: 5

代码说明:

  程序是《精通MATLAB 7.0混合编程》配套的源程序,请对照书本使用。(Program is "proficient in MATLAB 7.0 Hybrid Programming" supporting source, please use the control books.)

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

  • nonlin_hermite
    separation nonlineaire de sources par
    2010-12-23 18:52:39下载
    积分:1
  • 3A64P0821
    This paper investigates the feasibility of Orthogonal Frequency Division Multiplexing (OFDM) as a modulation technique for a ROF.
    2015-02-06 00:40:19下载
    积分:1
  • E10_Distance_Protection
    DISTANCE PROTECTION BY MATLAB
    2016-08-01 02:21:09下载
    积分:1
  • gtmatlab-phanthanhtao-110108100915-phpapp01
    this is document recommened on matlab
    2011-09-26 19:29:36下载
    积分:1
  • data
    金融时间序列data,著名的那本书的data (datafdfjkajfkd AIVAFDF)
    2013-03-18 00:35:38下载
    积分:1
  • contact
    轮轨接触点扫描方法,用扫描的方法计算求得任意轮轨型面的轮轨接触点(Wheel-rail contact point scanning method, the method of calculation obtained by scanning any type of wheel and rail wheel-rail contact point surface)
    2021-03-29 10:59:11下载
    积分:1
  • ReadEyeCoordinate_FERET
    一种能有效读出FERET库中的人眼坐标的有效方法,适用于有关人眼的人脸识别。(an effective FERET read out the eyes of the effective ways to coordinate, applicable in the eyes of face recognition.)
    2007-04-10 10:58:12下载
    积分:1
  • standard-PSO
    标准粒子群优化算法Matlab 源代码 放心可用(PSO ALGORITHM matlab)
    2013-10-13 10:56:18下载
    积分:1
  • SNorm
    MATLAB FUZZY BASIC OPERATIONS
    2014-02-18 00:09:50下载
    积分:1
  • ZCR
    autocov computes the autocovariance between two column vectors X and Y with same length N using the Fast Fourier Transform algorithm from 0 to N-2. The resulting autocovariance column vector acv is given by the formula: acv(p,1) = 1/(N-p) * sum_{i=1}^{N}(X_{i} - X_bar) * (Y_{i+p} - Y_bar) where X_bar and Y_bar are the mean estimates: X_bar = 1/N * sum_{i=1}^{N} X_{i} Y_bar = 1/N * sum_{i=1}^{N} Y_{i} It satisfies the following identities: 1. variance consistency: if acv = autocov(X,X), then acv(1,1) = var(X) 2. covariance consistence: if acv = autocov(X,Y), then acv(1,1) = cov(X,Y)
    2013-05-26 22:12:50下载
    积分:1
  • 696518资源总数
  • 105877会员总数
  • 14今日下载