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A time-frequency analysis concentration measurement algorithm based on erode

机译:基于腐蚀的时频分析浓度测量算法

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During the process of time-frequency (TF) analysis, the TF concentration degree is one of the most important parameters. So far, except for the MSE calculation, a stable and effective concentration measurement (CM) principle is still lacking. In this paper, a new CM principle has been proposed based on image morphology. Employing the erosion with two different algorithms, the information of the best and the worst TF concentrations could be find and a comprehensive evaluation would be given. After a series of simulation experiments, the results confirm that the new CM principle is of better stability and veracity.
机译:在时频(TF)分析过程中,TF浓度是最重要的参数之一。到目前为止,除了MSE计算之外,仍然缺乏稳定有效的浓度测量(CM)原理。本文提出了一种基于图像形态学的CM新原理。利用两种不同的算法进行腐蚀,可以找到最佳和最差TF浓度的信息,并进行综合评估。经过一系列的仿真实验,结果证实了新的CM原理具有更好的稳定性和准确性。

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