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simuladorBER
BER calculate between 2 files.
- 2011-10-20 23:27:49下载
- 积分:1
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matlab
一个利用共轭梯度法的正则化实例: 通过输入矩阵的维数,利用共轭梯度法的原理,进行正则化计算;Morozov偏差原理(A conjugate gradient method using the regularization Example: Enter the dimensions of the matrix, using the principle of conjugate gradient method for regularization calculation)
- 2013-07-23 08:42:47下载
- 积分:1
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096172
应用方便的OrbMath数学运算库,适用于多种语言()
- 2018-04-05 16:13:55下载
- 积分:1
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SVMcgForRegress
说明: 支持向量机中的支持向量回归函数对数据进行预测(Support Vector Regression Function in Support Vector Machine to Predict Data)
- 2019-05-12 16:42:10下载
- 积分:1
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3D-beam-jisuanjibeihe
C++编写“三维粱单元有限元计算内核”,对杆系有限元的理论和C++的理解有了很大提高(C++ written " three-dimensional beam finite element kernel module" , and on finite element theory and the understanding of C++ has been greatly improved)
- 2010-05-13 21:51:51下载
- 积分:1
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hartigansSLC_OpenCV
hartigans Sequential Leader Clustering Algorithm in terms of OpenCV (ver.1.1)
Sequential Leader algorithm:
Hartigan, J. A. (1975), Clustering Algorithms. John Wiley and Sons, Inc., New York, NY.
1. Select maximum cluster "radius"
2. Start with zero clusters
3. Add each item to be clustered to:
* Closest cluster if distance <= r
* New cluster if distance to closest cluster > r
4. Compute new center from members in cluster
5. Empty the clusters (keeping the centers)
6. Return to step 3 (until no changes are made)
- 2010-02-25 19:28:25下载
- 积分:1
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fortran
2D FDTD TE mode with a plane wave source and a PML abc
- 2020-12-16 16:09:14下载
- 积分:1
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数据提取W-E-xian-2015
说明: 通过面积加权在abaqus程序中提取温度作用数据,计算极值(The temperature action data was extracted by area weighting in abAQUs program and the extreme value was calculated)
- 2020-12-23 11:49:07下载
- 积分:1
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shuchujuzhen-
frotran输入矩阵自编小程序,可以生成任意大小矩阵,并写入制定文件(frotran input matrix composing small program that can generate any size matrix, developed and written documents)
- 2013-08-07 11:48:40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