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SOM
Kohonen的SOM软件包，matlab里最好的som软件(Kohonen s SOM package, matlab best som software)
- 2021-05-12 16:52:07下载
- 积分：1
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rechoose_seg
用于比较运动捕捉数据降维后提取的极值点之间的运动类型比较(For comparing the motion capture data movement type drop take extreme points of comparison between)
- 2015-01-19 16:51:53下载
- 积分：1
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matlab
《精通MATLAB最优化计算》一书的课件 第5章 MATLAB优化工具箱(Chapter 5 of the book courseware proficient MATLAB optimization calculation MATLAB Optimization Toolbox)
- 2012-11-20 15:36:02下载
- 积分：1
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wavelet_entropy
对文件夹下的EXECL文档进行批量计算，该程序用来计算NeuroSky采集到的raw data脑电数据的小波熵，经过验证得到的结论和别人得到的结论一样(help you to calculate the wavelet entropy, the data is collected from NeuroSky Mindset, it is worth for you to read and understand it.)
- 2014-01-17 16:07:47下载
- 积分：1
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MATLAB
matlab常见的算法，很有用的，里面有很多的算法，工程人员很有用。(matlab common algorithm, very useful, there are many algorithms, engineers useful.)
- 2010-06-18 17:30:46下载
- 积分：1
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thesis
handwritten Recognition system
- 2010-07-06 16:14:56下载
- 积分：1
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Kalman_filter
卡尔曼滤波是现代数字信号处理经典算法，本程序应用matlab语言实现利用卡尔曼滤波器跟踪机动目标。(Kalman filtering is a classic of modern digital signal processing algorithms, the application of this procedure using matlab language maneuvering target tracking Kalman filter.)
- 2009-07-04 09:46:42下载
- 积分：1
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dspPPT-dingyumei
the dingyumeiand gaoxinquan DSP PPT
- 2011-09-18 09:56:21下载
- 积分：1
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posterior_function_normal
send my code in Matlab for MCMC
- 2011-11-11 10:34:31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
