A Time-frequency Analysis Concentration Measurement Algorithm Based on Erode

被引：0
|
作者：
Hu, Jia-Dong [1 ]
Zhou, Xian-Da [1 ]
Zhu, Ming-Zhe [1 ]
机构：
[1] Xidian Univ, Sch Elect Engn, Xian, Shaanxi, Peoples R China
来源：
2016 IEEE INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING (ICSIP) | 2016年
基金：
中国国家自然科学基金;
关键词：
time-frequency; analysis; concentration measurement; erode; binaryzation; S-TRANSFORM;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：394 / 397
页数：4
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