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matlab_tutorial_documentation_classical_function
matlab经典函数教程文档matlab tutorial documentation classical function(classic function matlab tutorial documentation matlab tutorial documentation classical function)
- 2010-08-02 11:32:03下载
- 积分：1
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tuxiangyasuo
MATLAB的小波变换在图象压缩中的应用，很适合初学者阅读。(MATLAB Wavelet transform in image compression, it is suitable for beginners to read.)
- 2010-05-18 01:02:54下载
- 积分：1
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code
基于代价敏感布雷格曼散度的旋转机械轴承故障诊断研究(Rotating Machinery Fault Diagnosis of Bearing cost sensitive Bregman divergence based)
- 2013-12-15 14:09:25下载
- 积分：1
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1
说明： 基于MATLAB的电液伺服系统最优调节器的设计与仿真(The electro-hydraulic servo system based on MATLAB Optimal Regulator Design and Simulation)
- 2008-12-22 12:34:40下载
- 积分：1
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AdaptiveFiltering
最经典的自适应滤波的书籍，决不会后悔下载的。美国人编著(Adaptive Filtering and classic books, will never regret downloading. Americans for the book)
- 2009-04-12 09:23:46下载
- 积分：1
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advancenewton
说明：
改进的牛顿法求解：
方程的构造方法:给出[0,1]区间上的随机数(服从均匀分布)作为方程的根p*.
设你的班级数为a3,学号的后两位数分别为a2与a1,从而得到你的三次方程
例如:你的31班的12号,则你的方程是21x3+60x2+2x+a0=0的形式.
方程中的系数a0由你得到的根p*来确定.
(improve Newton's method : Construction of the equation : given interval [0,1] on the random number (subject to uniform distribution) as the root equation p*. set up your classes at a3, after learning of the double-digit for a1 and a2, so you get the three equations for example : Your 31 classes on the 12th, then your equation is 21x3 60x2 2x a0 = 0 forms. the equation coefficients a0 you get from the root of p* to determine.)
- 2005-12-03 18:16:08下载
- 积分：1
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ClassificationMatLabToolbox
说明： 分类Matlab工具箱,可以帮助读者更加形象地理解和掌握MATLAB的应用，可以作为广大高校学生和工程技术人员参考(Category Matlab toolbox that can help readers better understand and grasp the image of MATLAB applications can be used as general college students and engineers reference)
- 2010-04-24 09:41:06下载
- 积分：1
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ch1example4prg1
乒乓球下落到水平面的运动过程，用matlab编写的一个三维动态图(Table Tennis to the horizontal movement of the whereabouts of the process, using matlab written in a three-dimensional dynamic map)
- 2009-12-06 21:02:53下载
- 积分：1
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bound2four_pfile
Matlab pfile for converting a binary image boundary to a 4-connected boundary.
- 2009-06-27 08:57:00下载
- 积分：1
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GM_EM
不错的GM_EM代码。用于聚类分析等方面。( GM_EM- fit a Gaussian mixture model to N points located in n-dimensional
space.
Note: This function requires the Statistical Toolbox and, if you wish to
plot (for k = 2), the function error_ellipse
Elementary usage:
GM_EM(X,k)- fit a GMM to X, where X is N x n and k is the number of
clusters. Algorithm follows steps outlined in Bishop
(2009) Pattern Recognition and Machine Learning , Chapter 9.
Additional inputs:
bn_noise- allow for uniform background noise term ( T or F ,
default T ). If T , relevant classification uses the
(k+1)th cluster
reps- number of repetitions with different initial conditions
(default = 10). Note: only the best fit (in a likelihood sense) is
returned.
max_iters- maximum iteration number for EM algorithm (default = 100)
tol- tolerance value (default = 0.01)
Outputs
idx- classification/labelling of data in X
mu- GM centres)
- 2013-03-28 12:26:37下载
- 积分：1
