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trainingbasedchannelequalization
training based channel equalization
- 2009-03-18 14:21:13下载
- 积分:1
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matlab_dar_mohasebat445758568573427567
matlab_dar_mohasebat445758568573427567 matlab_dar_mohasebat445758568573427567
- 2009-10-07 15:50:40下载
- 积分:1
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ellisometry.rar
这个程序是用来计算盘基片的厚度和折射分布的程序.(this file is used to calculate the thickness and the refractive index of thse sample, and these two parameter distribution ca nbe obtained.)
- 2010-03-11 11:13:53下载
- 积分:1
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main
code FOR SIMULATE WSN PROBLEM OF SECURITY
- 2015-01-14 02:36:02下载
- 积分:1
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InfoTheory
该文件中包含信息论中的一些信息熵、互信息的计算。(The file contains some of the information entropy in information theory, mutual information calculation.)
- 2013-05-18 19:33:23下载
- 积分:1
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motor_eff
用于绘制电动汽车电动机的实际效率,MATLAB m文件(Used to draw the actual efficiency of electric vehicle motors, MATLAB m file)
- 2013-10-01 12:06:50下载
- 积分:1
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MATLAB-in-probability-statistics
MATLAB在概率统计中的应用 参数估计 回归分析
(MATLAB application in probability and statistics parameter estimation regression analysis
)
- 2013-05-10 00:26:26下载
- 积分:1
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three_level_inverter2
单相三电平逆变器 MATLAB 仿真研究,已通过调试,基本可用。(Single-phase three-level inverter MATLAB simulation, has passed the testing, the basic available.)
- 2011-05-25 23:07:51下载
- 积分:1
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matlab-dsolve
matlab的desolve算法 同时解决非线性方程组(matlab desolve)
- 2011-07-21 10:23:41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