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Simu_Lyap_3
program lyaponov method
- 2013-05-02 19:45:26下载
- 积分：1
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STAP_MVDR1
frost模型进行空时波束合成，增加了阵列的自由度，既可以处理宽带信号也可以进行窄带信号。(When frost empty beam synthesis model, the degree of freedom of the array, can handle both narrow-band signal may be a broadband signal.)
- 2014-04-09 23:28:56下载
- 积分：1
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algorithm
说明： 利用人工蜂群算法求解模型matlab源码(artificial bee colony)
- 2020-11-20 10:39:36下载
- 积分：1
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matlab
一个介绍MATLAB符号数学工具箱的 PDF 文件(1 Introduction MATLAB symbolic math toolbox of PDF files)
- 2009-12-16 19:40:17下载
- 积分：1
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simulation
ekf滤波、pda关联滤波、卡尔曼滤波、最小二乘参数估计的仿真建模，以及matlab多项式的学习资料(ekf filtering, pda association filtering, Kalman filtering, least squares parameter estimation modeling and simulation, as well as learning materials matlab polynomial)
- 2014-02-20 22:18:23下载
- 积分：1
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面向MATLAB工具箱的神经网络理论与应用_10206284
可以降维分析，还有bp神经网络，非常方便学习。大家可以随意下载，(Dimensionality reduction analysis)
- 2020-06-24 08:40:01下载
- 积分：1
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拟NewtonBFGS算法（精确)
说明： BFGS是一类凸优化算法；对无约束优化问题十分有效。(Convex optimization algorithm; unconstrained optimization)
- 2019-04-12 18:38:50下载
- 积分：1
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MonteCarlo1
这个程序主要是用来设计实现一个蒙特卡洛的算法 采用matlab设计 可以应用在随机搜索方面(This program is mainly used to design and implement a Monte Carlo algorithm using matlab design can be applied to random search and)
- 2021-03-21 21:49:16下载
- 积分：1
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espritcase1
music algorithm for variation of snr
- 2014-08-22 00:28:00下载
- 积分：1
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HHT
把HHT和神经网络结合起来，识别出是否故障。对于HHT变换，这里用到的是它的IMF分解，然后用能量理论来判别哪些模组是虚假分量，哪些是是真实分量。对于EMD分解后的谱进行特征提取 ，利用的理论基础就是模糊熵。计算出真实 分量的模糊熵，作为输入层；输出层为两个神经元，为0（故障 ）1（正常 （正常 ）判别该信号是否出现故障。(The combination of HHT and neural network to identify whether the fault. For the HHT transform, here is the use of its IMF decomposition, and then use the energy theory to determine which module is false, which is true component. The theoretical basis for the feature extraction of the spectrum after EMD decomposition is fuzzy entropy. The fuzzy entropy of the real component is calculated, as the input layer, the output layer is two neurons, which is 0 (fault) 1 (normal) to determine whether the signal is faulty.)
- 2016-03-09 12:58:20下载
- 积分：1
