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HOT_R2.6.1
hot thermo tools for matlab.
- 2010-12-09 16:08:25下载
- 积分：1
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in_pend
直线一一级倒立摆的数学模型。其产品是固高科技GLIP2001(Line eleven mathematical model of inverted pendulum. The product is a solid high-tech GLIP2001)
- 2011-06-09 15:34:15下载
- 积分：1
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Gauss
auss Numerical Integration for univariate, finite integrals
- 2012-02-14 06:39:05下载
- 积分：1
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DFIG_simplified_crowbar
DFIG wind turbine based on doubly feed induction generator the best generator used
- 2021-04-08 20:49:00下载
- 积分：1
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GrTheory
GrTheory - Graph Theory Toolbox.
Functions:
grBase - find all bases of digraph
grCoBase - find all contrabases of digraph
grCoCycleBasis - find all independent cut-sets for a connected graph
grColEdge - solve the color problem for graph edges
grColVer - solve the color problem for graph vertexes
grComp - find all components of graph
- 2014-02-06 02:17:02下载
- 积分：1
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OFDM--main
说明： OFDM系统的Matlab仿真实现，包括OFDM信道估计、均衡(Matlab simulation of OFDM system, including OFDM channel estimation and equalization)
- 2021-03-14 16:44:05下载
- 积分：1
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OpenCVMatlab
说明： OpenCV库的Matlab函数封装调用
cvlib_mex封装了OpenCV库大约30个函数，OpenCV是当前流行的实时计算机视觉库，拥有很多的图像处理的算法。(cvlib_mex is a collection (over two dozens) of matlab callable routines from the OpenCV library www.intel.com/research/mrl/research/opencv/). OpenCV is a real time computer vision library with many image processing capabilities and
it is amazingly fast as well as economic.)
- 2009-09-03 11:29:38下载
- 积分：1
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Bayliss-weighting
It is Bayliss weighting source code.
- 2020-12-09 16:29:18下载
- 积分：1
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Matlab_VC
使用MATLAB和VC6进行混合编程的教程(Mixed use of MATLAB and programming tutorials VC6)
- 2010-05-31 13:59:02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
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