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

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Author

Summary, in English

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.

Department/s

Publishing year

2016-10-01

Language

English

Pages

80-85

Publication/Series

Signal Processing

Volume

127

Document type

Journal article

Publisher

Elsevier

Topic

  • Signal Processing

Keywords

  • Directional Gaussian filter
  • Multi-component signals
  • Smoothing kernel
  • Time-frequency analysis
  • Time-frequency image enhancement
  • Wigner-Ville distribution

Status

Published

Research group

  • Statistical Signal Processing Group

ISBN/ISSN/Other

  • ISSN: 0165-1684