Description: 互信息盲源分离,这基于这么一个事实,混合信号的互信息最小时,意味着信号独立。可以参考有关书籍。在google里面,搜索mutual information blind source separation.即可搜到文章。-mutual information Blind Source Separation, such a fact-based, mixed-signal information in the most hours of each other, mean signal independence. Can reference to the books. Google the inside, Search mutual information blind source separation . that article can be found. Platform: |
Size: 350284 |
Author:马明 |
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Description: 互信息盲源分离,这基于这么一个事实,混合信号的互信息最小时,意味着信号独立。可以参考有关书籍。在google里面,搜索mutual information blind source separation.即可搜到文章。-mutual information Blind Source Separation, such a fact-based, mixed-signal information in the most hours of each other, mean signal independence. Can reference to the books. Google the inside, Search mutual information blind source separation . that article can be found. Platform: |
Size: 350208 |
Author:马明 |
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Description: 这是从网上整理出来的图像融合评价标准,总共有13项性能指标。包括平均梯度,边缘强度,信息熵,灰度均值,标准差(均方差MSE),均方根误差,峰值信噪比(psnr),空间频率(sf),图像清晰度,互信息(mi),结构相似性(ssim),交叉熵(cross entropy),相对标准差。大家一起交流吧~-This is sorted out from the online image fusion evaluation criteria, there are a total of 13 performance indicators. Including the average gradient, edge strength, information entropy, gray are
Value, standard deviation (mean square error MSE), root mean square error, peak signal to noise ratio (psnr), spatial frequency (sf), image clarity, mutual information (mi), structure
Similarity (ssim), cross-entropy (cross entropy), the relative standard deviation. Exchange it with everyone ~ Platform: |
Size: 8192 |
Author:海洋 |
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Description: 图像融合中常用的评价指标(非常全面)如:平均梯度、相关系数、信息熵、交叉熵、联合熵、均方误差、互信息、信噪比、峰值信噪比、均方根误差、空间频率、标准差、均值、扭曲程度、偏差指数等等。-Image fusion evaluation (very comprehensive): average gradient, correlation coefficient, entropy, cross entropy, joint entropy, mean square error and mutual information, signal to noise ratio, peak signal to noise ratio, root mean square error, spacefrequency, standard deviation, mean, distorting the degree of deviation index. Platform: |
Size: 9216 |
Author:杨哲辉 |
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Description: 该matlab代码主要用于计算图像的边缘强度,信息熵,灰度均值,标准差(均方差MSE),均方根误差,峰值信噪比(psnr),空间频率(sf),图像清晰度,互信息(mi),结构相似性(ssim),交叉熵(cross entropy),相对标准差。- calculate the uation average gradient, edge strength, information entropy, gray are Value, standard deviation (mean square error MSE), root mean square error, peak signal to noise ratio (psnr), spatial frequency (sf), image clarity, mutual information (mi), structure Similarity (ssim), cross-entropy (cross entropy), the relative standard deviation. Platform: |
Size: 9216 |
Author:李伟 |
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Description: 这是从网上整理出来的图像融合评价标准,总共有13项性能指标。包括平均梯度,边缘强度,信息熵,灰度均值,标准差(均方差MSE),均方根误差,峰值信噪比(psnr),空间频率(sf),图像清晰度,互信息(mi),结构相似性(ssim),交叉熵(cross entropy),相对标准差。-This is sorted out the online image fusion uation criteria, there are a total of 13 performance indicators. Including the average gradient, edge strength, information entropy, gray are Value, standard deviation (mean square error MSE), root mean square error, peak signal to noise ratio (psnr), spatial frequency (sf), image clarity, mutual information (mi), structure Similarity (ssim), cross-entropy (cross entropy), the relative standard deviation Platform: |
Size: 14336 |
Author:去额 |
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Description: 计算互信息非常有用的一组程序,Matlab实现界面友好,均值便宜跟踪的示例。- Mutual information is useful to calculate a set of procedures, Matlab to achieve user-friendly, Example tracking mean cheap. Platform: |
Size: 4096 |
Author:heisan |
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Description: 计算互信息非常有用的一组程序,均值便宜跟踪的示例,LCMV优化设计阵列处理信号。- Mutual information is useful to calculate a set of procedures, Example tracking mean cheap, LCMV optimization design array signal processing. Platform: |
Size: 3072 |
Author:王省岐 |
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Description: 计算互信息非常有用的一组程序,是路径规划的实用方法,均值便宜跟踪的示例。- Mutual information is useful to calculate a set of procedures, Is a practical method of path planning, Example tracking mean cheap. Platform: |
Size: 4096 |
Author:黄国 |
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Description: Minimum mean square error (MMSE) algorithm, Mutual information is useful to calculate a set of procedures, Energy entropy calculation. Platform: |
Size: 124928 |
Author:cgtdfbvm
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