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sorSSOR
在matlab中实现矩阵的sor分解和ssor分解(Implemented in the matlab sor matrix decomposition decomposition and ssor)
- 2010-11-20 19:45:42下载
- 积分：1
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musiic_like
采用四阶累积量的对DoA进行估计，主要采用Music-like的方法(Fourth-order cumulant on the DoA estimates, the main Music-like)
- 2020-09-01 15:08:10下载
- 积分：1
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Matlab_code_SPL
Source code: M. A. Haque and M. K. Hasan, "Noise robust multichannel frequency-domain LMS-type algorithms for blind channel identification", IEEE Signal Processing Letters, pp.305-308, vol.15, 2008.
- 2012-01-27 02:02:27下载
- 积分：1
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eular-app-meth
euler approximation method
- 2014-11-04 03:39:04下载
- 积分：1
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Project_4_haze-removal
haze removal code using matlab . software based taken a research paper
- 2014-11-12 15:52:32下载
- 积分：1
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Chapter9
说明： MATLAB统计分析与应用里的回归分析和样本数据(MATLAB statistical analysis and regression analysis and sample data in the application)
- 2018-12-30 17:46:17下载
- 积分：1
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CHAPTER5
刘金坤《先进 PID 控制及其 MATLAB 仿真》书上第五章源程序。供大家参考。(Liu Jinkun " Advanced PID Control and MATLAB Simulation" Chapter book source. For your reference.)
- 2010-01-27 11:05:01下载
- 积分：1
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classer
这是一个贝叶斯分类器，用于人工智能的科研学习和工作，有例子可以参考(Bayesian classifier, artificial intelligence for research study and work, there are examples you can refer to)
- 2011-10-22 16:38:47下载
- 积分：1
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demofun
This is a simple demo, solving a simple regression task using LS-SVMlab. A dataset is constructed in the right formatting. The data are represented as matrices where each row contains one datapoint. In order to make an LS-SVM model, we need 2 extra parameters: gamma (gam) is the regularization parameter, determining the trade-off between the fitting error minimization and smoothness of the estimated function. sigma^2 (sig2) is the kernel function parameter of the RBF kernel. The parameters and the variables relevant for the LS-SVM are passed as one cell. This cell allows for consistent default handling of LS-SVM parameters and syntactical grouping of related arguments.
- 2015-01-18 05:53:25下载
- 积分：1
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jacobi
说明： calculating using jacobi on matlab numeric
- 2015-03-26 16:37:21下载
- 积分：1
