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MatlabStudy
主成分分析法计算过程matlab实现软件,希望对大家有所帮助(principal component analysis calculation Matlab software, we hope to help)
- 2006-11-23 19:47:02下载
- 积分:1
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2011_inertial-navigation_second
2011年秋季 北京航空航天大学惯性导航原理第二次大作业(2011 inertial navigation the second homework of beihang university )
- 2013-11-11 15:35:27下载
- 积分:1
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ondas
GUI of dispersion for communication system
- 2009-04-28 16:24:32下载
- 积分:1
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Finite_Difference_Beam_Propagation_Method
采用有限差分方法模拟计算高斯光束在自由空间传播过程。(Simulation using the finite difference method of Gaussian beams in free space propagation.)
- 2010-11-03 11:45:07下载
- 积分:1
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renzhiwuxiandian
这个程序在认知无线电中的频谱计算方法,是一种经典的计算方法,十分好用。(The program in cognitive radio spectrum is obtained by a classical method of calculation is very easy to use.)
- 2010-11-12 11:08:23下载
- 积分:1
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function-turbo
this is matlab program for turbo code set up.
- 2014-08-28 13:46:36下载
- 积分:1
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Basics_of_MATLAB_and_Beyond_Andrew_Knight
book on Basics of Matlab
- 2009-07-03 21:23:42下载
- 积分:1
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Relevance-Vector-Machine
说明: 相关向量机(Relevance Vector Machine,简称RVM)是Micnacl E.Tipping于2000年提出的一种与SVM(Support Vector Machine)类似的稀疏概率模型,是一种新的监督学习方法。
它的训练是在贝叶斯框架下进行的,在先验参数的结构下基于主动相关决策理论(automatic relevance determination,简称ARD)来移除不相关的点,从而获得稀疏化的模型。在样本数据的迭代学习过程中,大部分参数的后验分布趋于零,与预测值无关,那些非零参数对应的点被称作相关向量(Relevance Vectors),体现了数据中最核心的特征。同支持向量机相比,相关向量机最大的优点就是极大地减少了核函数的计算量,并且也克服了所选核函数必须满足Mercer条件的缺点。(Relevance Vector Machine (RVM) is a sparse probability model similar to SVM (Support Vector Machine) proposed by Micnacl E. Tipping in 2000. It is a new supervised learning method.
Its training is carried out under the Bayesian framework. Under the structure of prior parameters, it is based on Automatic Relevance Determination (ARD) to remove the irrelevant points, so as to obtain the sparse model. In the iterative learning process of sample data, the posterior distribution of most parameters tends to zero, which is independent of the predicted value. The points corresponding to non-zero parameters are called Relevance Vectors, which represent the most core features of the data. Compared with support vector machine, the biggest advantage of correlation vector machine is that it greatly reduces the computation amount of kernel function, and also overcomes the shortcoming that the selected kernel function must meet Mercer's condition.)
- 2021-03-23 21:20:53下载
- 积分:1
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ChaoticSequence
用于在MATLAB环境下生成混沌序列(含MATLAB下的源代码)(Generated in the MATLAB environment for the chaotic sequence (including the source code under MATLAB))
- 2010-06-03 09:15:52下载
- 积分:1
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ekf_demo
扩展的卡尔曼滤波方法matlab代码,可以用于各种电机控制中的在线参数辨识以及无速度传感器设计(extended kalman filter )
- 2012-01-07 02:29:49下载
- 积分:1