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

Khan, Nabeel Ali and Sandsten, Maria LU (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.

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author
organization
publishing date
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
  • 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
2016-04-26 12:38:15
@misc{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},
  keyword      = {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    = {ARRAY(0xb432588)},
  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},
  volume       = {127},
  year         = {2016},
}