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Spline_WTMM_Matlab
B样条小波的构造和基于小波变换模极大值的奇异点检测的Matlab实现。(Construction of B-Spline wavelet and wavelet modulus maxima for singularity detection using Matlab.)
- 2014-08-26 02:41:32下载
- 积分：1
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sars
大学生数学建模竞赛2003年A题SARS传播题的Matlab代码(Mathematical Contest in Modeling spread of SARS in 2003 entitled A Question Matlab code)
- 2010-09-11 08:41:36下载
- 积分：1
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xhsy
信号与系统学习matlab工具箱，提供各种信号仿真(the study of signal and system
)
- 2014-11-06 00:05:57下载
- 积分：1
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wavelet_mallat
本程序主要利用小波分析的mallat算法实现谱分析的功能(The main advantage of wavelet analysis procedure mallat function of spectral analysis algorithms)
- 2010-12-08 11:08:16下载
- 积分：1
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coder
this code is for coder and decoder for find out the motion for the particular frame sequences..
- 2011-01-24 18:32:03下载
- 积分：1
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L1-Ls
很经典的L1范数算法，可以用于对优化算法的改进，有效加快运算速度和优化精度！(Classic L1 norm algorithm, the optimization algorithm can be used effectively to accelerate the speed of operation, and optimization precision!)
- 2012-11-06 19:48:06下载
- 积分：1
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IntroToGPIF
GPIF的详细介绍啊，里面有一些使用的例子。很不错的文档资料(A detailed description of GPIF ah, there are some use examples. Very good documentation)
- 2007-11-23 10:11:39下载
- 积分：1
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FittingSurvivalModelss
Companion code for Fitting Survival Probability Models article
- 2010-10-18 16:17:25下载
- 积分：1
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schur
说明： 模型降阶方法 MATLAB schur方法(Using matlab to program the control system )
- 2011-04-10 16:48:10下载
- 积分：1
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VistaRestoreTools1.0
denoise
In BayesShrink[5] we determine the threshold for
each subband assuming a Generalized Gaussian
Distribution(GGD) . The GGD is given by
GG¾ X ¯ (x) = C(¾ X ¯ )exp¡ [® (¾ X ¯ )jxj]¯ (6)
¡ 1 < x < 1 ¯ > 0, where
® (¾ X ¯ ) = ¾ ¡ 1
X [ ¡ (3=¯ )
¡ (1=¯ ) ]1=2
and
C(¾ X ¯ ) = ¯ ¢ ® (¾ X ¯ )
2¡ ( 1
¯ )
and ¡ (t) =
R1
0 e¡ uut¡ 1du.
The parameter ¾ X is the standard deviation and ¯
is the shape parameter It has been observed[5] that
with a shape parameter ¯ ranging from 0.5 to 1, we
can describe the the distribution of coefficients in a
subband for a large set of natural images.Assuming
such a distribution for the wavelet coefficients, we empirically
estimate ¯ and ¾ X for each subband and try
to find the threshold T which minimizes the Bayesian
Risk, i.e, the expected value of the mean square error.
- 2012-06-08 01:38:48下载
- 积分：1
