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gridd-connected-pv-systems
gridd connected pv systems
- 2012-04-03 19:52:01下载
- 积分：1
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example1_remarkb
wilson-theta和Newmark-beta求解动力学振动方程,三自由度系统的脉冲响应(wilson-theta and the Newmark-beta to solve the vibration equation of dynamics. three degrees of freedom the system impulse response
)
- 2011-07-13 17:38:10下载
- 积分：1
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bin
用MATLAB合成歌唱祖国，包括初步与简单改变（包络）(Ode to the Motherland synthesis using MATLAB, including the initial and simple to change (the envelope))
- 2013-10-26 13:31:38下载
- 积分：1
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adaptive-lpf1
matlab code for adaptive lms filter
- 2015-01-23 13:01:23下载
- 积分：1
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zabo
1 瑞利分布实现程序
2 瑞利分布＋杂波
3 相关对数正态分布杂波
4 相关weibull分布杂波
5 相干相关K分布杂波
(1 Rayleigh distribution to achieve program
2 Rayleigh distribution+ Clutter
3 Related lognormal clutter
4 related weibull distribution clutter
5 coherent K distributed clutter)
- 2014-01-13 13:52:04下载
- 积分：1
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相关干涉仪测向方法的matlab仿真
程序为相关干涉仪测向方法的matlab仿真。以5元圆天线阵列为接收阵列，计算两元间的相位差，形成标准库，并通过相关的方式测得信号来波方向。运行untitled1，输入相关参数即可实现功能(Matlab simulation of the method of correlation interferometer direction finding. With 5 element circular array antenna for receiving array to calculate phase difference between two dollars, forming the standard library, and by means of the measured signal direction of arrival. Run untitled1, input the relevant parameters to achieve the function)
- 2021-01-04 09:58:56下载
- 积分：1
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test_4d-Lyapunov
说明： 四阶超混沌系统的lyapunov指数计算程序。(Lyapunov exponent calculation program for fourth-order hyperchaotic systems)
- 2020-09-11 15:28:01下载
- 积分：1
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bianyuanjiance
一种基于小波的边缘检测算法，用matlab实现，程序有点长，希望耐心的阅读(Based on wavelet edge detection algorithm, using matlab to achieve, the program a bit longer, hoping patiently reading)
- 2008-12-17 20:59:43下载
- 积分：1
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crout_algorithm
Crout Algorithm for Power Flow
- 2013-10-06 08:56:11下载
- 积分：1
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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
- 积分：1
