Time-frequency image enhancement based on interference suppression in Wigner-Ville distribution
(2016) In Signal Processing 127. p.80-85- Abstract
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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/e9b06924-3938-4f56-a295-5602058e26c6
- author
- Khan, Nabeel Ali and Sandsten, Maria LU
- organization
- publishing date
- 2016-10-01
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Directional Gaussian filter, Multi-component signals, Smoothing kernel, Time-frequency analysis, Time-frequency image enhancement, Wigner-Ville distribution
- in
- Signal Processing
- volume
- 127
- pages
- 6 pages
- publisher
- Elsevier
- external identifiers
-
- wos:000377325400008
- scopus:84961837969
- ISSN
- 0165-1684
- DOI
- 10.1016/j.sigpro.2016.02.027
- language
- English
- LU publication?
- yes
- id
- e9b06924-3938-4f56-a295-5602058e26c6
- date added to LUP
- 2016-04-26 12:38:15
- date last changed
- 2024-03-21 21:20:08
@article{e9b06924-3938-4f56-a295-5602058e26c6,
abstract = {{<p>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.</p>}},
author = {{Khan, Nabeel Ali and Sandsten, Maria}},
issn = {{0165-1684}},
keywords = {{Directional Gaussian filter; Multi-component signals; Smoothing kernel; Time-frequency analysis; Time-frequency image enhancement; Wigner-Ville distribution}},
language = {{eng}},
month = {{10}},
pages = {{80--85}},
publisher = {{Elsevier}},
series = {{Signal Processing}},
title = {{Time-frequency image enhancement based on interference suppression in Wigner-Ville distribution}},
url = {{http://dx.doi.org/10.1016/j.sigpro.2016.02.027}},
doi = {{10.1016/j.sigpro.2016.02.027}},
volume = {{127}},
year = {{2016}},
}