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pca
运用奇异值分解定理的PCA方法在ORL人脸库上进行人脸识别,分类器为最近邻分类器,(The use of singular value decomposition theorem of PCA method in ORL face database for face recognition, nearest neighbor classifier for the classifier,)
- 2010-12-01 14:12:20下载
- 积分:1
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newf
说明: 带约束算子的粒子群算法,用于matlab环境,对于搞研究的教师有很大帮助(Operator Constrained Particle Swarm Optimization for the matlab environment, engage in research for teachers are very helpful.)
- 2010-04-08 18:14:21下载
- 积分:1
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DSP
数字信号处理应用设计了各种滤波器,能够完成信号的处理(The digital signal processing applications design of a variety of filters, to complete the processing of the signal)
- 2013-03-12 22:06:17下载
- 积分:1
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beam_xiangyi
可用于声纳、雷达信号处理的波束形成程序,利用相移法对多信源目标进行方位估计。(Can be used for sonar, radar signal processing beamforming procedure, and use the phase shift method for multi-source target position is estimated.)
- 2012-07-02 18:54:59下载
- 积分:1
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12
说明: 四阶龙格库塔法解内弹道方程,具有很好的精度,程序通俗易懂(Fourth-order Runge-Kutta method solution trajectory equation for interior_ballstic,)
- 2013-12-03 20:51:40下载
- 积分:1
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Bridge-Design-Project-George-Hill-0801260
Matlab Design of truss bridge
- 2012-10-19 21:28:24下载
- 积分:1
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mutli-output
多输出的支持向量机matlab代码, 常规的svm是单输出,这个是多输出(
Standard SVR formulation only considers the single-output problem. In the case of several output variables, other methods (neural networks, kernel ridge regression) must be deployed, but the good properties of SVR are lost: hinge-loss function and sparsity. The proposed model M-SVR extends the single-output SVR by taking into account the nonlinear relations between features but also among the output variables, which are typically inter-dependent.
)
- 2016-03-05 15:29:54下载
- 积分:1
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code
tricolor attenuation model
- 2011-05-03 00:36:47下载
- 积分:1
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engine-mount-stiffness-and-damping
悬置刚度、阻尼测试数据处理 (Function to process data from measurement of stiffness and damping)
- 2012-05-20 10:29:31下载
- 积分:1
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sanjiaofenjie
三角分解
输入变量为一个n阶非奇异方阵A,输出的结果为该矩阵的直接分解矩阵(Input variables for a n-order non-singular matrix A, the output of the direct decomposition of the matrix for the matrix)
- 2011-11-24 15:04:57下载
- 积分:1