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特征提取

于 2019-03-07 发布

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下载积分: 1 下载次数: 27

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代码说明：

说明：用于提取信号的时频域特征参数，比如信号均值、方差、以及一些无量纲的时域特征参数(Time-frequency domain characteristic parameters used to extract signals, such as signal mean, variance, and some dimensionless time domain characteristic parameters)

文件列表：

特征提取\extractFeatures - 副本 (2).zip, 898 , 2019-03-07
特征提取\extractFeatures - 副本 (3).zip, 898 , 2019-03-07
特征提取\extractFeatures - 副本 (4).zip, 898 , 2019-03-07
特征提取\extractFeatures - 副本 (5).zip, 898 , 2019-03-07
特征提取\extractFeatures - 副本.zip, 898 , 2019-03-07
特征提取\extractFeatures.zip, 898 , 2019-03-07
特征提取, 0 , 2019-03-07

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说明：数字图像修复算法的评价标准也是从两个方面进行评价的，一个是修复算法的效率，一个是修复后图像质量。修复算法的效率主要就是看修复图像所用的时间，可以用时间就行量化。而图像质量很难从量上唯一的进行评价，目前图像修复质量还没有统一的评价标准，从实际应用出发，修复后图像质量的好坏大多数是从以下两个方面就行评价，修复后图像给人主观上的“满意度”和客观上图像的cnr、enl、epi、psnr、snr来评判。(The evaluation criteria of digital image restoration algorithms are also evaluated from two aspects, one is repair. One of the efficiency of complex algorithm is the image quality after restoration. The efficiency of the repair algorithm depends mainly on the repair. The time spent on the image can be quantified in terms of time. But image quality is difficult to improve quantitatively only. At present, there is no uniform evaluation criterion for image restoration quality. Starting from practical application, repair The quality of restored images is mostly evaluated from the following two aspects, and the restored images are given to people. Subjective "satisfaction" and objective image cnr, enl, epi, psnr, SNR to judge.)

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