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Nunes J.C

于 2019-05-06 发布
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下载积分: 1 下载次数: 2

代码说明:

说明:  二维emd的MATLAB代码,需要下载rbf工具箱,亲测可用(Two-dimensional EMD MATLAB code, need to download the RBF toolbox, pro-test available)

文件列表:

Nunes J.C\BEMD.m, 1161 , 2019-04-12
Nunes J.C\BEMD_RBF.m, 2269 , 2019-04-12
Nunes J.C\Env_Rbf.m, 2588 , 2019-04-12
Nunes J.C\lena.jpg, 47132 , 2019-04-12
Nunes J.C\moy_env.m, 1633 , 2019-04-12
Nunes J.C, 0 , 2019-04-29

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  • FAST-ICA
    1、对观测数据进行中心化,; 2、使它的均值为0,对数据进行白化—>Z; 3、选择需要估计的分量的个数m,设置迭代次数p<-1 4、选择一个初始权矢量(随机的W,使其维数为Z的行向量个数); 5、利用迭代W(i,p)=mean(z(i,:).*(tanh((temp) *z)))-(mean(1-(tanh((temp)) *z).^2)).*temp(i,1)来学习W (这个公式是用来逼近负熵的) 6、用对称正交法处理下W 7、归一化W(:,p)=W(:,p)/norm(W(:,p)) 8、若W不收敛,返回第5步 9、令p=p+1,若p小于等于m,返回第4步 剩下的应该都能看懂了 基本就是基于负熵最大的快速独立分量分析算法(1, on the center of the observation data, 2, making a mean of 0, the data to whitening-> Z 3, select the number of components to be estimated m, setting the number of iterations p < -1 4, select an initial weight vector (random W, so that the Z dimension of the row vectors of numbers) 5, the use of iteration W (i, p) = mean (z (i, :).* (tanh ((temp) ' * z)))- (mean (1- (tanh ((temp)) ' * z). ^ 2)).* temp (i, 1) to learn W (This formula is used to approximate the negative entropy) 6 with symmetric orthogonal treatments W 7, normalized W (:, p) = W (:, p)/norm (W (:, p)) 8, if W does not converge, return to step 5 9 , so that p = p+1, if p less than or equal m, return to step 4 should be able to read the rest of the basic is based on negative entropy of the largest fast independent component analysis algorithm)
    2013-06-27 15:39:00下载
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  • jianyunmoni
    实现图像渐晕效果的模拟,输入一副分辨率大于800×500的bmp图像,可以得到模拟出渐晕效果后的图像,参数可调(The image vignetting effect simulation, input a bmp image resolution is greater than 800,500, and adjustable parameters can be simulated image vignetting effect)
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    2019-11-26 09:55:45下载
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    直方图的计算与显示分析图像、物体和视频信息过程,我们常把看到的物体用直方图(histogram)表示,直方图可以用来描述各种不同的事情,如物体的色彩分布、物体边缘梯度模板,以及表示目标位置的概率分布(Calculation and analysis of the histogram display images, objects and video information process, we often see objects with the histogram (histogram) indicates, the histogram can be used to describe a variety of different things, such as the color distribution of objects, object edges gradient templates, and the probability distribution of the target position)
    2013-11-12 14:49:32下载
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    2020-10-29 16:49:57下载
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