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PLS_Toolbox_3
偏最小二乘法工具包,美国著名的eigenvector公司出品。版本3.0.免安装。(PLS_toolbox produced by eigenvector. version 3.0)
- 2021-04-26 15:48:45下载
- 积分:1
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texture-analysis-using-dwt-for-grape-plant-specie
Texture Analysis Using DWT for Grape Plant Species Classification:-
By observing leaf, we can easily identify plant but it is difficult to identify its species. In this project we developed an algorithm that gives user the ability to identify plant species based on photographs of the leaf. The core theme of this application is an algorithm that acquires statistical features of the leaves, and then classifies the species based on a novel combination of the computed texture feature analysis and wavelet analysis. While implementing this algorithm we have considered the Grape plant and its four species viz. Clone, Sonaka, Thomson and Manik. The algorithm is first trained against several samples of known plant species and then used to classify unknown query species. By using this algorithm we have achieved 93.33 efficiency
- 2015-01-01 15:26:38下载
- 积分:1
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New-folder
Linear receiver stbc matlab codes
- 2014-01-10 17:26:13下载
- 积分:1
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code
说明: 高斯过程回归单模型 基于主成分子模型融合PCS-GPR 图像分析找不同 支持向量机回归建模 人工神经网络(Gaussian process regression single model fusion based on principal component synthesis PCS-GPR image analysis to find different support vector machine regression modeling artificial neural network)
- 2021-03-05 16:49:30下载
- 积分:1
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stepFun_fitting
说明: 多项式拟和阶跃函数的小程序!对于多项式反演有一定的启发(Polynomial to be a small step function and procedures! Polynomial inversion for some inspiration)
- 2008-11-15 02:02:31下载
- 积分:1
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GPS-System-Simulink
基于Matlabsimulink的GPS系统仿真程序;基于Matlabsimulink的GPS系统仿真程序(Simulation program based on the GPS system Matlabsimulink simulation program based on the GPS system Matlabsimulink)
- 2013-03-07 09:52:03下载
- 积分:1
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waveletMLR_longchuan
可以用于预测的小波分解下的多元线性回归,对于径流预测有效(wavelet mlr)
- 2015-03-31 16:43:19下载
- 积分:1
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RICE-UNIVERSITY
标准压缩感知(CS)理论决定了可靠的信号恢复是可能给M= O(KLOG(N / K))的测量。我们证明了它可以通过利用超越简单的稀疏性和可压缩性由包括价值观和信号系数的位置之间的依赖关系更加逼真信号模型大大降低Mwithout牺牲的鲁棒性。(The standard compressive sensing (CS) theory dictates that robust signal recovery is possible from M=O(Klog(N/K)) measurements. We demonstrate that it is possible to substantially decrease Mwithout sacrificing robustness by leveraging more realistic signal models that go beyond simple sparsity and compressibility by including dependencies between values and locations of the signal coefficients.
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- 2014-01-06 20:07:54下载
- 积分:1
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kalman_test_CV
卡尔曼滤波的CV模型,详细的matlab代码及说明(the CV model of Kalman Filtering)
- 2012-01-06 21:53:50下载
- 积分:1
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ms
说明: 图像抽取及误差控制,像素点最大误差能控制到2(Image extraction and error control, the maximum pixel error can be controlled to 2)
- 2007-12-02 10:39:13下载
- 积分:1