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AR
说明： 一个简单的matlab程序，用于实现自回归AR模型。( U4E00 u4E2A u7B80 u5355 u7684matlab u7A0B u5E8F uFF0C u7528 u4E8E u5B9E u73B0 u81EA u56DE u5F52AR u6A21 u578B u3002)
- 2017-05-12 15:13:32下载
- 积分：1
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11
说明： 用二分法求解一元五次非线性方程的实数解，在高等电路学习中有很好的用途。(One yuan of five nonlinear equations dichotomy solving real solutions, there is a very good use in the higher circuit learning.)
- 2012-10-27 20:52:45下载
- 积分：1
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层次分析法求权重
说明： 可用于层次分析法比较评价，主函数输入初始矩阵，调用层次分析函数(It can be used for comparative evaluation of analytic hierarchy process. The main function input the initial matrix and call the analytic hierarchy process function.)
- 2020-06-19 11:40:02下载
- 积分：1
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lijisuan
这是几篇关于粒计算在故障诊断中的应用，对学习粒计算的应用很有帮助。(This is a few on Granular Computing in Fault Diagnosis of learning the application of granular computing helpful.)
- 2013-09-11 18:03:25下载
- 积分：1
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MY_PREDISTORTION
这是一个关于数字预失真功能仿真的matlab程序，效果不错，希望对大家有所帮助。(This is a matlab program about function estimation of digital estimation,and it has a good performance,really hope it can help you.)
- 2012-06-01 11:29:52下载
- 积分：1
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JiSuanQi_2
自制的计算器，可实现加减运算，清除，后退等功能(Homemade calculator, can realize the addition and subtraction, clear, back, etc)
- 2016-04-06 15:44:31下载
- 积分：1
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Gauss
数值分析中用C 语言验证验证Gauss列主元消去法。(Numerical analysis using the C language to verify verify the Gauss column principal component elimination.)
- 2013-03-25 21:11:32下载
- 积分：1
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doa
DOA估计：最大熵算法、最小模算法、最小方差算法。输入： 快拍数据协方差矩阵R，观察范围内各方向导向矢量，三维矩阵phiyz。输出：最小方差谱估计矩阵P。(DOA Estimation: maximum entropy algorithm, the minimum norm algorithm, the minimum variance algorithm. Input: snapshot of the data covariance matrix R, the steering vector of each direction in the observed range of three-dimensional matrix phiyz. Output: the minimum variance spectral estimation matrix P.)
- 2012-06-18 10:25:01下载
- 积分：1
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PCA算法程序 pca
PCA算法程序设计步骤：
1、去均值
2、计算协方差矩阵及其特征值和特征向量
3、计算协方差矩阵的特征值大于阈值的个数
4、降序排列特征值
5、去掉较小的特征值
6、去掉较大的特征值(一般没有这一步）
7、合并选择的特征值
8、选择相应的特征值和特征向量
9、计算白化矩阵
10、提取主分量
(PCA algorithm programming steps: 1 to mean 2, calculation of covariance matrix and its eigenvalues and eigenvectors 3, the calculation of covariance matrix eigenvalues greater than the threshold number of 4, in descending order of eigenvalue 5, remove the smaller eigenvalue 6, remove the larger eigenvalue (usually not this step) 7, the combined choice of eigenvalues 8, select the appropriate eigenvalues and eigenvectors 9, computing whitening matrix 10, principal component extraction)
- 2021-03-09 13:09:27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
