Title :
Performance comparisons for robust local polynomial Fourier transform in impulsive noises
Author :
Xiumei Li ; Guoan Bi
Author_Institution :
Hangzhou Normal Univ., Nanyang, China
Abstract :
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.
Keywords :
Fourier transforms; mean square error methods; polynomials; signal processing; frequency estimation; impulsive noise models; impulsive noises; mean square errors; performance comparisons; robust local polynomial Fourier transform; robust methods; signal processing; Estimation; Fourier transforms; Noise; Noise measurement; Robustness; Standards; Time-frequency analysis; impulsive noise; local polynomial Fourier transform; mean-square-error;
Conference_Titel :
Communications, Control and Signal Processing (ISCCSP), 2014 6th International Symposium on
Conference_Location :
Athens
DOI :
10.1109/ISCCSP.2014.6877835