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yundongmuhu
设计一幅运动模糊图片。自定义点扩展函数,利用卷积运算实现运动模糊(the design of a motion-blurred images. Since the definition of point spread function, the use of convolution operation to achieve motion blur)
- 2009-04-27 22:23:13下载
- 积分:1
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hunpin
混频器的matlab源代码,极具参考价值,请大家参考(Mixer matlab source code, great reference value, please refer to)
- 2014-09-23 21:31:45下载
- 积分:1
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ACSMCFuzzySMC
利用模糊控制結合滑模控制合成的模糊滑模控制器,應用在磁浮軸承系統。(The use of fuzzy control with sliding mode control synthesis of fuzzy sliding mode controller, used in magnetic bearing systems.)
- 2009-12-14 16:22:47下载
- 积分:1
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triangle_3
三结点三角形单元有限元计算程序 matlab编程(Three-node triangular element finite element program matlab programming)
- 2020-12-13 15:19:15下载
- 积分:1
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MSE-for-MIMO-channel
Program based on rayleigh fading channel with 2Rx MIMO and finding Minimum mean square equalization
- 2013-02-08 12:54:20下载
- 积分:1
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GaussSeidel
Gauss Seidel equation solving for power system analysis
- 2013-02-23 08:28:47下载
- 积分:1
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diyizhang
精通MATLAB计算科学书源代码第一张,原书正版CD源程序(Proficient in MATLAB source code for calculating the first scientific book, the original source CD to the book)
- 2011-10-12 14:24:29下载
- 积分:1
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WindTurbineSpr
OPTIMIZATION OF A WIND TURBINE
ROTOR WITH VARIABLE AIRFOIL
SHAPE VIA A GENETIC ALGORITHM
- 2013-05-07 09:06:32下载
- 积分:1
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mmp
This file for computing the matching pursuit
- 2012-02-03 07:41:15下载
- 积分:1
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SPGP_dist
这是一个关于稀疏高斯过程的matlab源码,可以用于计算测试输入的高斯预测值。( spgp_pred computes the SPGP predictive distribution for a set of
test inputs. You need to supply a set of pseudo-inputs or basis
vectors for the approximation, and suitable hyperparameters for the
covariance. You can use any method you like for finding the
pseudo-inputs , with the simplest obviously being a random subset of
the data. It is coded for Gaussian covariance function, but you could
very easily alter this. It is also fine to use for high dimensional
data sets.
spgp_lik is the SPGP (negative) marginal likelihood and gradients
with respect to pseudo-inputs and hyperparameters. So you can use this
if you wish to try to optimize the positioning of pseudo-inputs and
find good hyperparameters, before using spgp_pred . I would recommend
initializing the pseudo-inputs on a random subset of the data, and
initializing the hyperparameters sensibly. Its current limitations are
that 1) it is slow and memory intensive for high dimensional data sets
2) it is heavi)
- 2021-05-13 07:30:02下载
- 积分:1