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gmm_utilities
说明： 高斯滤波器 matlab toolbox
For GMMs and Gaussian kernels(Gaussian filter matlab toolboxFor GMMs and Gaussian kernels)
- 2008-10-17 10:17:46下载
- 积分：1
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MatSAC
用Matlab读取Geopsy软件生成的文件(Matlab software used to read files generated Geopsy)
- 2015-02-19 12:38:33下载
- 积分：1
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SOM
MATLAB的自组织映射神经网络源码和相应的实验数据(MATLAB' s self-organizing map neural network source code and the corresponding experimental data)
- 2009-11-08 16:37:16下载
- 积分：1
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Bayesguji
用监督参数估计中的贝叶斯方法估计条件概率密度的参数u(With the supervision of the Bayesian estimation method to estimate the parameters of the conditional probability density of u)
- 2011-01-06 09:58:50下载
- 积分：1
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calculator
说明： matlab GUI 计算器，和附件的计算器功能类似，由GUI实现(matlab GUI calculator, calculator functions and accessories similar to the GUI to achieve)
- 2011-04-08 16:59:26下载
- 积分：1
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Chap_5_MVDR
西蒙赫金的《自适应滤波原理》一书的matlab程序，现在继续上传第5.mvdr章的程序，
大家学习交流，觉得有用的自己下载，(西蒙赫gold Adaptive Filtering Theory matlab program book, and now continue to upload the first chapter 5.mvdr procedures, everyone learning exchanges, and find useful to download their own,)
- 2008-04-15 11:52:57下载
- 积分：1
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Handout1
Simulation Guide of MATLAB
- 2011-02-07 19:14:04下载
- 积分：1
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ode_fit
已知自变量t，因变量y，y和t满足一下函数式：
dy/dt=0.001414/(1/(4.5727*10^4*k1*(1-0.02119*y)^k2)+1/k3/45727)；（需要指出的是，该公式中参数可进一步合并，在本帖中并未作合并处理）
已知 t=；y=；拟合出参数k1，k2，k3。(Known independent variable t, the dependent variable y, y, and t satisfy my functional: dy/dt = 0.001414/(1/(4.5727* 10 ^ 4* k1* (1-0.02119* y) ^ k2)+1/k3/45727) (It should be noted that the equation parameters can be further consolidated in this post are not treated as a merger) is known t = y = fitting parameters k1, k2, k3.)
- 2015-01-07 21:32:55下载
- 积分：1
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qiugailv
求解所输入数据的概率分布，可随意设定所分概率区间个数。(Solving the probability distribution of the input data, can be arbitrarily set the number of sub-probability interval.)
- 2013-11-12 15:33:18下载
- 积分：1
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cbacaeiffb
optisystem和MATLAB联合仿真(Joint simulation of optisystem and MATLAB)
- 2019-05-23 22:50:03下载
- 积分：1
