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Robotics_Toolbox_for_Matlab

于 2020-07-21 发布 文件大小:598KB
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  Robotics toolbox for matlab

文件列表：

robot
.....\@link
.....\.....\char.m,458,2002-04-01
.....\.....\CVS
.....\.....\...\Entries,338,2002-09-11
.....\.....\...\Repository,20,2002-09-11
.....\.....\...\Root,24,2002-09-11
.....\.....\display.m,1296,2002-04-01
.....\.....\friction.m,714,2002-04-14
.....\.....\link.m,4235,2002-04-14
.....\.....\nofriction.m,562,2002-04-01
.....\.....\showlink.m,576,2002-04-01
.....\.....\subsasgn.m,1703,2002-04-14
.....\.....\subsref.m,4767,2002-04-14
.....\@quaternion
.....\...........\char.m,363,2002-04-01
.....\...........\CVS
.....\...........\...\Entries,533,2002-09-11
.....\...........\...\Repository,26,2002-09-11
.....\...........\...\Root,24,2002-09-11
.....\...........\display.m,355,2002-04-01
.....\...........\double.m,294,2002-04-01
.....\...........\inv.m,316,2002-04-01
.....\...........\mpower.m,621,2002-04-01
.....\...........\mrdivide.m,602,2002-04-01
.....\...........\mtimes.m,1123,2002-04-01
.....\...........\norm.m,361,2002-04-01
.....\...........\plot.m,813,2002-04-14
.....\...........\qinterp.m,1282,2002-04-14
.....\...........\quaternion.m,3453,2002-04-14
.....\...........\subsref.m,1377,2002-04-01
.....\...........\unit.m,310,2002-04-01
.....\@robot
.....\......\char.m,920,2002-04-01
.....\......\CVS
.....\......\...\Entries,582,2002-09-11
.....\......\...\Repository,21,2002-09-11
.....\......\...\Root,24,2002-09-11
.....\......\display.m,337,2002-04-01
.....\......\friction.m,525,2002-04-14
.....\......\mtimes.m,601,2002-04-01
.....\......\nofriction.m,904,2002-04-01
.....\......\perturb.m,994,2002-04-01
.....\......\plot.m,12807,2002-04-28
.....\......\rne.m,1797,2002-04-01
.....\......\rne_dh.m,4841,2002-09-11
.....\......\rne_mdh.m,4871,2002-09-11
.....\......\robot.m,2433,2002-04-01
.....\......\showlink.m,373,2002-04-01
.....\......\subsasgn.m,1899,2002-04-01
.....\......\subsref.m,2680,2002-04-01
.....\accel.m,1440,2002-04-01
.....\cinertia.m,789,2002-04-01
.....\Contents.m,3099,2002-05-27
.....\coriolis.m,948,2002-04-01
.....\ctraj.m,1307,2002-04-14
.....\CVS
.....\...\Entries,2650,2002-09-11
.....\...\Repository,14,2002-09-11
.....\...\Root,24,2002-09-11
.....\demos.m,1347,2002-05-27
.....\dh.m,1064,2002-04-01
.....\diff2tr.m,615,2002-04-01
.....\doc
.....\...\CVS
.....\...\...\Entries,384,2002-09-11
.....\...\...\Repository,18,2002-09-11
.....\...\...\Root,24,2002-09-11
.....\...\figs
.....\...\....\ctraj.eps,11296,2002-06-07
.....\...\....\CVS
.....\...\....\...\Entries,858,2002-09-11
.....\...\....\...\Repository,23,2002-09-11
.....\...\....\...\Root,24,2002-09-11
.....\...\....\demo1.eps,8413,2002-06-07
.....\...\....\demo2.eps,13524,2002-06-07
.....\...\....\demo3.eps,15054,2002-06-07
.....\...\....\demo4.eps,14884,2002-06-07
.....\...\....\demo5.eps,17758,2002-06-07
.....\...\....\demo6.eps,21344,2002-06-07
.....\...\....\drivebot.eps,116068,2002-06-07
.....\...\....\dyn.id,27982,2002-06-07
.....\...\....\kine-mod.id,19231,2002-06-07
.....\...\....\kine-std.id,19365,2002-06-07
.....\...\....\plot.eps,18562,2002-06-07
.....\...\....\pumaaxis.eps,107706,2002-06-07
.....\...\....\quat.eps,7443,2002-06-07
.....\...\....\roblocks.eps,11685,2002-06-07
.....\...\....\simple.eps,11166,2002-06-07
.....\...\....\stanford.eps,16793,2002-06-07
.....\...\....\surfl.eps,58700,2002-06-07
.....\...\....\taufunc.eps,11889,2002-06-07
.....\...\....\twolink.eps,11458,2002-06-07
.....\...\Makefile,269,2002-06-07
.....\...\nfssfont.tex,1551,2002-06-07
.....\...\postfont.tex,1905,2002-06-07
.....\...\psfig.tex,10167,2002-06-07
.....\...\ref.sty,2975,2002-06-07
.....\...\ref.tex,82606,2002-06-07
.....\...\tut.bbl,5279,2002-06-07

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  • kl
    说明：  （1）应用9×9的窗口对上述图象进行随机抽样，共抽样200块子图象； （2）将所有子图象按列相接变成一个81维的行向量； （3）对所有200个行向量进行KL变换，求出其对应的协方差矩阵的特征向量和特征值，按降序排列特征值以及所对应的特征向量； （4）选择前40个最大特征值所对应的特征向量作为主元，将原图象块向这40个特征向量上投影，所获得的投影系数就是这个子块的特征向量。 （5）求出所有子块的特征向量。 ((1) the application of 9 × 9 window of these images at random, a total sample of 200 sub-image (2) all sub-images according to out-phase into a 81-dimensional row vector (3) all 200 lines for KL transform vector, derived its corresponding covariance matrix of eigenvectors and eigenvalues, in descending order by eigenvalue and the corresponding eigenvector (4) a choice to 40 corresponding to the largest eigenvalue eigenvector as the PCA, the original image block to the 40 feature vectors on the projection, the projection coefficients obtained by this sub-block eigenvector. (5) calculated for all sub-block eigenvector.)
    2007-08-07 18:04:13下载
    积分：1
  • Matlab
    Matlab书，毕设论文等关于图像及识别的都可以参考，较有价值(Matlab books, papers, etc. to complete based on the images and can be identified by reference to, the more valuable)
    2009-04-15 07:49:08下载
    积分：1
  • LMaFit-b2
    递秩矩阵拟合，Matrix Completion ，Sparse Matrix Separation ，Matrix Compressive Sensing (Low-rank Matrix Fitting)
    2009-11-07 21:13:05下载
    积分：1
  • matlab
    matlab 实验，这是上课的实验，有基本应用，适合信号。通信专业初学者入门使用( MATLAB exercises,are suit for students whose majors are signal processing ang communication)
    2009-06-29 15:17:30下载
    积分：1
  • pixel_feature_extraction
    pixel by pixel feature extraction
    2011-07-28 13:41:58下载
    积分：1
  • FDTD_PULSE
    fdtd计算二维电磁脉冲的源程序。脉冲为高斯调制脉冲，很有帮助的(fdtd calculation of the two-dimensional electromagnetic pulse source. Gaussian pulse to pulse modulation, helpful)
    2007-06-24 12:43:52下载
    积分：1
  • A-review-of-image
    图像去噪算法进行回顾，以崭新 之一。寻找有效的图像去噪方法仍然是一个有效的挑战，在 功能分析和统计数据的交叉(A REVIEW OF IMAGE DENOISING ALGORITHMS, WITH A NEW ONE.The search for efficient image denoising methods still is a valid challenge, at the crossing of functional analysis and statistics)
    2013-12-15 19:39:59下载
    积分：1
  • colorSegment_AmitSrinet
    Color Segmentaion using euclidean and mahalaobis distance
    2010-02-11 09:31:40下载
    积分：1
  • lingo
    数学建模中用lingo来编写程序动态聚类树画法，(Mathematical modeling lingo to write programs using dynamic clustering tree painting,)
    2013-07-16 22:16:31下载
    积分：1
  • chap1
    differenr kinds od pid control and different new method
    2014-10-14 22:56:12下载
    积分：1
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