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matlab-examples

于 2013-10-07 发布 文件大小:21KB
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  matlab实用程序百例,解决各种初学者会遇见的问题(Matlab examples,Solve problems for beginners )

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  • Proakis_digit
    数字通信第四版答案。 对学习数字通信的同学比较有用。(the answer of digital signal communication)
    2010-12-03 19:31:57下载
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  • ganmi
    用simulink搭建的模型参考自适应系统(use simulink)
    2012-01-11 13:30:03下载
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  • vblast-and-alamouti-2x2
    自己毕设的一部分,vblast2x1、2x2和 alamouti 2x1 2x2的误码率作图比较。(vblast2x1, 2x2 and alamouti 2x1 2x2 BER plotted comparison.)
    2014-01-16 01:00:26下载
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  • DS-and-matlab
    直扩频通信中的伪码仿真及其matlab仿真(Direct Spread Spectrum Simulation and matlab simulation of pseudo code)
    2011-05-31 11:13:21下载
    积分:1
  • simplex
    Nelder-Mead. Comparative method to find minimimum of multivariable functions.
    2013-03-16 22:07:58下载
    积分:1
  • cgsvd
    CGSVD Compact generalized SVD of a matrix pair in regularization problems. sm = cgsvd(A,L) [U,sm,X,V] = cgsvd(A,L) , sm = [sigma,mu] Computes the generalized SVD of the matrix pair (A,L): [ A ] = [ U 0 ]*[ diag(sigma) 0 ]*inv(X) [ L ] [ 0 V ] [ 0 eye(n-p) ] [ diag(mu) 0 ] where U is m-by-n , sigma is p-by-1 V is p-by-p , mu is p-by-1 X is n-by-n . It is assumed that m >= n >= p, which is true in regularization problems. Reference: C. F. Van Loan, Computing the CS and the generalized singular value decomposition , Numer. Math. 46 (1985), 479-491. Per Christian Hansen, IMM, 12/19/97. Initialization.
    2021-03-25 20:29:14下载
    积分:1
  • adaptive_SMO
    这是一个基于自适应的滑模控制的仿真程序,对于研究滑模控制会有帮助(adaptive slinding mode control)
    2010-06-23 22:01:48下载
    积分:1
  • differentialDrive.pdf
    This is related to kinematics for differential drive motors....
    2011-04-25 20:06:29下载
    积分:1
  • fdim
    计算广义分形维数的matlab源程序。希望对大家有用! 函数形式:function [dq,rq]=fdim(q,x,trace) 不同q值下得到不同定义的分形维,如:q=0 is Hausdorf, q=1 is Information, q=2 is Correlation, etc.具体说明见程序。(Generalized fractal dimension of Matlab source. We hope that the right useful! Function form : function [dq, rq] = fdim (q, x, trace) q different values under different definitions of the fractal dimension, such as : q = 0 is Hausdorf. q = 1 is Information, q = 2 is Correlation, etc.. See specify procedures.)
    2006-12-26 16:51:59下载
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  • Recursive-least-squares-with-noise-
    Recursive least squares with noise
    2014-12-24 00:01:14下载
    积分:1
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