Performance comparisons for robust local polynomial Fourier transform in impulsive noises

In communications and imaging, signals are usually corrupted by impulsive noises. To process this kind of signals, the robust methods are generally used. In this paper, the robust local polynomial Fourier transform is used to process signals in various impulsive noise models, and performances for the robust local polynomial Fourier transforms in various impulsive noises are compared. It shows that, for all the discussed impulsive noise models, the robust local polynomial Fourier transform can achieve better performance as well as smaller mean-square-errors in instantaneous frequency estimation, compared with the standard counterpart.