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MATLAB-Algorithm

于 2013-07-27 发布文件大小:146KB

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MATLAB 算法大全，找到的比较好的学习资料(MATLAB algorithms Daquan, found a better learning materials)

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nlcmpc
matlab实现的非线性模型预测控制算法(matlab implementation of nonlinear model predictive control algorithm)

2021-04-27 17:48:44下载

积分：1
Cyclostationary-toolbox
循环平稳信号工具，包括自相关函数和7个实验，以及算法的解释(Cyclostationary signal instruments, including the self-correlation function and the experimental)

2011-06-02 17:08:05下载

积分：1
klippirovanie
Clipping PAPR reduction for OFDM

2013-09-06 22:49:04下载

积分：1
decomp
MATLAB雨燕程。电力系统电压骤降信号的小波分解结果(MATLAB Swift away. Power system voltage sag signal wavelet decomposition results)

2013-10-23 16:16:30下载

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CRC_Attach
CRC码的加入 LTE编码过程中验证码。。。。。。。(Join LTE encoding process in the CRC verification code)

2013-12-12 07:38:50下载

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MIMO-Matlab
MATLAB仿真多用户MIMO系统容量的源代码(MATLAB simulation of multiuser MIMO system capacity of the source code)

2016-01-04 22:52:17下载

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anquanguohe
先定义允许状态S={(x,y)|x=0或3,y=0,1,2,3 x=y=1,2}, 允许决策D={(u,v)|u+v=1,2},求dk<-D(k=0,1,2,…,n),使状态Sk<-S按照状态转移律S(k+1)=S(k)+(-1)^k*dk,由初始状态 S1=[3,3]经有限步到达状态S(n+1)=[0,0].此为求解多步决策问题( First define to allow the state S = ((x, y) | x = 0 or 3, y = 0,1,2,3 x = y = 1,2), to allow the decision-making D = ((u, v) | u+ v = 1,2), seek dk < -D (k = 0,1,2, ..., n), so that state Sk < -S state transition in accordance with law S (k+1) = S (k )+ (-1) ^ k* dk, from the initial state S1 = [3,3] by the finite-step to reach the status S (n+1) = [0,0]. This is a multi-step decision-making problem solving)

2010-02-17 12:02:50下载

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RVM_matlabToolBox
相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。优点： (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好(Relevance Vector Machine (RVM) of the matlab source code, including fast algorithm that contains code for use. RVM support vector machine is taken the same functional form sparse probabilistic model to predict the unknown function or classification. Advantages: (1) is not only the amount of output predicted target point estimates, but also the distribution of predicted values can be output. (2) using a smaller number of support vectors, thereby significantly reducing the output target amount predicted value calculation time. (3) RVM does not require excessive parameter estimation. (4) RVM meets Mercer theorem on the kernel function is not limited, and better adaptability)

2013-11-21 11:05:48下载

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pmsys
Phase Modulation matlab code

2014-09-04 11:05:40下载

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C_Ngeshi
利用Crank-Nicolson隐式差分格式求解抛物型偏微分方程，matlab程序代码(Crank-Nicolson implicit difference scheme)

2013-08-29 11:39:57下载

积分：1

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MATLAB-Algorithm

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