Title :
Higher-order statistics for fractional Fourier transform
Author_Institution :
Dept of Electronic and Information Engineering, Beijing Electronic Science and Technology Institute, 100070, China
Abstract :
The definition of the higher-order statistics associated with the fractional Fourier transform is presented in this paper. The proposed fractional higher-order statistics for order greater than two are blind to the additive white or colored Gaussian noise, which is similar to the conventional higher-order statistics; and it is suitable for the chirp signal. The proposed higher-order statistics can outperform the conventional higher-order statistics in the Fourier domain under the correlated Gaussian noises at lower SNR. Simulation results demonstrate the validity of this estimation method.
Keywords :
Higher-order statistics; fractional Fourier transform; noise reduction;
Conference_Titel :
Image and Signal Processing (CISP), 2012 5th International Congress on
Conference_Location :
Chongqing, Sichuan, China
Print_ISBN :
978-1-4673-0965-3
DOI :
10.1109/CISP.2012.6469859