Time-frequency image enhancement based on interference suppression in Wigner-Ville distribution

被引:48
|
作者
Khan, Nabeel Ali [1 ]
Sandsten, Maria [2 ]
机构
[1] Fed Urdu Univ, Dept Elect Engn, Islamabad, Pakistan
[2] Lund Univ, Ctr Math Sci, Math Stat, S-22100 Lund, Sweden
关键词
Time-frequency analysis; Directional Gaussian filter; Time-frequency image enhancement; Wigner-Ville distribution; Smoothing kernel; Multi-component signals; FRACTIONAL FOURIER-TRANSFORM;
D O I
10.1016/j.sigpro.2016.02.027
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
This paper proposes a time-frequency (t-f)image enhancement method for suppressing interference terms in the Wigner-Ville distribution. The proposed technique adapts the direction of the smoothing kernel locally at each t-f point, so that the smoothing kernel remains aligned with the ridges of the auto-terms. This local alignment of the smoothing kernel reduces cross-terms without degrading the energy concentration of auto-terms. The results indicate that the proposed time-frequency distribution outperforms other methods in terms of its ability to resolve close signal components. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:80 / 85
页数:6
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