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2_Brusselator_Heun_period_boundary
经典非线性动力学模型,布鲁塞尔子模型,可直接运行,运算效率高。(nonlinear dynamics Brusselator model)
- 2014-01-18 22:16:57下载
- 积分:1
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surferce_wave
本人上传的为线性拉东变换方法,它能够提取面波的频散曲线(I uploaded is of linear radon transform method, it can extract of surface wave dispersion curves)
- 2012-10-24 17:15:55下载
- 积分:1
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Partial_Differential_Equation
一阶偏微分方程的基础知识,很容易入门,很多工程处理要用到的(Introduce the basic knoeledge of Partial Differential Equation)
- 2010-12-24 17:15:05下载
- 积分:1
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最速下降法
最优化课程中的最速下降法matlab程序,利用了wolfe搜索和armijo线搜索(Matlab program of steepest descent method in optimization course, using Wolfe search and Armijo line search)
- 2021-03-26 18:19:13下载
- 积分:1
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matrix
一个由C语言写成的矩阵运算程序源代码,共初学者参考。(A C language source code matrix calculation, a total of reference for beginners.)
- 2007-12-18 16:57:44下载
- 积分:1
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qiyizhi
奇异值能量差分谱计算,可用于信号降噪处理(Singular value of the energy difference spectrum calculation can be used for signal noise reduction)
- 2021-03-21 14:29:16下载
- 积分:1
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最小二乘法
说明: 对该模型参数辨识采用递推最小二乘法,即 RLS( recurisive least square),
它是一种能够对模型参数进行在线实时估计的辨识方法。(The recursive least square method is used to identify the parameters of the model, that is, rls (recurisive least square), which is an online real-time estimation method for the model parameters)
- 2019-01-17 17:03:00下载
- 积分:1
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FVM-convection-and-diffusion
流体力学中有限体积法的求解程序,matlab代码-Finite volume method for solving procedures, matlab code(matlab code, -Finite, volume, method, for, solving, procedures, MATLAB, code)
- 2017-06-15 14:36:34下载
- 积分:1
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wind-speed-prediction
风电场短期风速预测研究,用的是MATLAB开发环境,对于研究风电场的同学有帮助(Short-term wind speed prediction of wind farms)
- 2012-11-26 09:52:57下载
- 积分:1
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MP_DOA
针对多径效应的影响,提出了一种基于矩阵束的MIMO 雷达低仰角快速估计方法。该方法同时考虑了发射多径信号和接收多径信号,采用单样本数信号矢量构造了一个前后向矩阵束,并利用两个酉矩阵对该矩阵束进行降维处理,最后采用广义特征值分解的总体最小二乘法来估计目标角度。算法不需要估计数据协方差矩阵,可在低
信噪比和单样本数情况下,有效地克服多径效应,实现同时多目标低仰角估计,相比最大似然算法,避免了谱峰搜索,计算量小。仿真结果验证了该算法的有效性。(To overcome the multipath effect, a fast algorithm for low elevation estimation for MIMO radar via matrix pencil is proposed. The signals both in transmit multipath and receive multipath are considered. Firstly, a forward-backward matrix pencil is formed based on the single-sampled vector. Secondly, the reduced-dimensional processing is applied to the matrix pencil via two unitary matrices. Finally, the generalized eigen-decomposition is employed to estimate the low elevation in multipath environments directly. Without the covariance matrix estimation, the proposed method can overcome multipath effect effectively in case of low SNR and estimate multi-target simultaneously. Compared with Maximum Likelihood (ML) method, it avoids spectrum peak searching and reduces the computational burden. Numerical results verify the effectiveness of this method)
- 2011-09-03 10:54:42下载
- 积分:1