登录
首页 » matlab » duigui

duigui

于 2008-01-06 发布 文件大小:522KB
0 172
下载积分: 1 下载次数: 4

代码说明:

  回归分析(Regression analysis)

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

  • TheMatlabGUIProgrammingReferenceManual
    本电子书是Matlab的GUI编程中文参考手册,详细讲解了matlab的GUI编程的方方面面,对开发人员一个很好的参考手册!(This eBook is Matlab' s GUI Programming Reference Manual, explained in detail all aspects of matlab' s GUI programming, the developer of a good reference manual!)
    2010-05-22 11:01:13下载
    积分:1
  • mp
    说明:  该算法是贪婪算法mp的matlab程序,用于信道估计等等(The algorithm is greedy mp' s matlab program for channel estimation, etc.)
    2011-10-07 14:28:05下载
    积分:1
  • bode
    High pass and low pass filters with matlab by using bode plot method. Showing very important thing is that bode plot does not give any information about transient response.
    2014-02-07 07:35:09下载
    积分:1
  • HopfieldTsp
    hpfield 求解TSP的MATLAB源代码(hpfield solving TSP s MATLAB source code)
    2007-12-07 13:11:45下载
    积分:1
  • matlab
    说明:  MATLAB的中文帮助文档,让那些不愿意看英文的朋友们,简单明了的学习MATLAB(MATLAB help documentation in Chinese, English, for those who do not want to see friends, to learn simple MATLAB)
    2010-04-06 19:23:27下载
    积分:1
  • lyapunov_wolf
    说明:  利亚普诺夫指数是混沌预测和混沌的重要参数,代码中给出利亚普诺夫指数和wolf算法(Liapunov index and the wolf chaos algorithm)
    2009-09-03 16:30:31下载
    积分:1
  • PLRandom-zxk
    电力线通信多径信道模型-Manfred Zimmermann模型,多径效应的传递函数H(f)可以用N条传输路径的叠加以及含有频率f、延时τ、距离d的方程来表示: H(f)=∑g_i *A(f,d_i )*e^(-j2πfτ_i ) 式中,i 为路径号, g_i为路径 i的加权系数(包含了传输系数和反射系数的作用),A(f,d_i )为衰耗,其大小由长度、频率决定,τ_i是每条路径上的延时。 (Powerline Communication multipath channel model-Manfred Zimmermann model)
    2013-12-17 11:09:16下载
    积分:1
  • TRACKING-----RADARS
    TRACKING RADARS PRESENTATION
    2014-02-18 02:34:52下载
    积分:1
  • gridsynchronous
    synchronous genertor with PV array
    2011-01-15 01:29:29下载
    积分:1
  • RIV
    适当选择辅助变量,使之满足相应条件,参数估计值就可以是无偏一致。估计辅助变量法的计算量与最小二乘法相当,但辨识效果却比最小二乘法好的多。尤其当噪声是有色的,而噪声的模型结构又不好确定时,增广最小二乘法和广义最小二乘法一般都不好直接应用,因为他们需要选用特定的模型结构,而辅助变量法不需要确定噪声的模型结构,因此辅助变量法就显得更为灵活,但辅助变量法不能同时获得噪声模型的参数估计。(Choose appropriate secondary variables, meet the relevant conditions and parameter estimate can be unbiased consistent. Estimated auxiliary variable method calculation and least square method is quite, but the identification effect is much better than the least square method. Especially when the noise is colored, and noise model structure and not sure, augmented the least squares and the generalized least squares method is generally not used directly, because they need to choose specific model structure, and auxiliary variable method does not need to make sure that noise model structure, so the auxiliary variable method is more agile, but not at the same time auxiliary variable method for noise model parameter estimation.)
    2012-12-28 16:06:51下载
    积分:1
  • 696518资源总数
  • 105877会员总数
  • 14今日下载