"Suppression of cross-term in wigner distribution using directional filtering and image processing "

Nabeel Ali Khan; Sadiq Ali

Abstract:

Cross-term suppression in the Wigner distribution is a challenging task. Kernel based schemes are most widely used for reducing cross-terms. However, these schemes suffer from the intrinsic give and take between auto-term resolution and cross-term suppression. This paper presents a crossterm suppression scheme by combining directional filtering with image processing. This scheme retains the resolution of auto-term while significantly reducing cross-terms. The performance comparison with other methods demonstrates that the proposed method is superior compared to other methods in terms of cross-term suppression and energy concentration.

research from:

• Foundation University - Faculty of Engineering and IT

Year:

2019

Type of Publication:

Article

Journal:

NED University Journal of Research

Volume:

16

Number:

2

Pages:

23-29

Month:

3