-
acl
acl细粒度访问控制机制 简单易懂 能够成功运行(The acl fine-grained access control mechanism Easy to understand To be able to run successfully)
- 2015-01-14 20:28:22下载
- 积分：1
-
jibenlizisuanfa
一个适合初学者使用的粒子算法程序及其函数极值的计算。(One for beginners and function of particle algorithm extreme calculations.
)
- 2011-12-07 21:58:12下载
- 积分：1
-
bee22
说明： 用matlab画蜂窝网络,用蜂窝覆盖给定的圆域(drawing cellular network using matlab )
- 2011-02-22 23:52:29下载
- 积分：1
-
《MATLAB统计分析与应用1》
生成一元分布随机数、蒙特卡洛方法；正态总体参数的检验；描述性统计量等(Generating a bivariate distribution, random numbers, Monte Carlo methods, testing of normal population parameters, descriptive statistics, etc.)
- 2017-08-13 15:10:44下载
- 积分：1
-
ju740
包含飞行器飞行中的姿态控制，如侧滑角，倾斜角，滚转角，俯仰角，有井曲线作为输入可计算其地震波的衰减,matlab程序运行时导入数据文件作为输入参数。( It comprises aircraft flight attitude control, such as slip angle, tilt angle, roll angle, pitch angle, There is a well attenuation curve as input to calculate its seismic waves, Import data files as input parameters matlab program is running.)
- 2017-03-29 11:36:25下载
- 积分：1
-
颜色识别
说明： 汽车颜色识别 svm分类识别， 识别汽车颜色的程序可用(Vehicle color recognition SVM classification recognition, the program of vehicle color recognition is available)
- 2021-04-13 09:18:56下载
- 积分：1
-
matlabGUIexample
matlabGUI编程实例：常用数学符号运算工具集合，主要功能包括：因式分解，合并同类项、求微分积分，泰勒展开和函数作图等。对学习初步的matlab界面设计有着一定的参考价值(matlabGUI programming examples: commonly used mathematical symbols collection of computing tools, the main features include: Factorization, the merger of similar items, and points differential, Taylor expansion and function, such as mapping. Learning matlab preliminary interface design is a certain reference value)
- 2008-08-11 17:10:27下载
- 积分：1
-
Speed
无线传感器网络QoS路由Speed算法，matlab程序(Wireless sensor networks, QoS routing Speed algorithm. M
)
- 2012-05-12 21:26:38下载
- 积分：1
-
effects
matlab gui关于图像处理的一个简易的小程序(matlab gui image processing on a simple small program)
- 2013-11-22 19:06:25下载
- 积分：1
-
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
