Adaptive window width selection algorithm for Gabor transform based on entropy

被引：0
|
作者：
School of Information Engineering, Dalian University, Dalian 116622, China [1 ]
不详 [2 ]
机构：
[1] School of Information Engineering, Dalian University
[2] School of Astronautics, Harbin Institute of Technology
来源：
Dianzi Yu Xinxi Xuebao | 2008年 / 10卷 / 2291-2294期
关键词：
Concentration; Entropy; Gabor transform; Signal processing; Window width;
D O I：
10.3724/sp.j.1146.2007.00534
中图分类号：
学科分类号：
摘要：
To resolve the issue of window width selection, an adaptive algorithm for Gabor transform is proposed, which improves the concentration and time-frequency resolution of Gabor representation. The value range of Shannon entropy is mended to make it more adequate for measuring concentration of time-frequency distribution. Moreover, basing on entropy, an optimal window width can be searched adaptively. Simulation results show that the proposed algorithm chooses the optimal window width for mono-component signal or multi-component signal, giving the best Gabor representation with high concentration and time-frequency resolution. Additionally, the algorithm behaves well under low signal noise ratio.
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页码：2291 / 2294
页数：3
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