Title :
Bussgang Gaussianity test for stationary series
Author :
Giunta, G. ; Jacovitti, G. ; Scarano, G.
Author_Institution :
Rome Univ., Italy
Abstract :
In this contribution we develop a procedure for deciding whether a finite segment of a signal can be considered as a realization of a Gaussian process or not. We first present the theoretical bases leading to the formulation of the Bussgang test. A novel test based on the sign nonlinearity is introduced and its performance analysed in comparison with two simple Gaussianity tests presented in the literature. The results have shown a very promising behaviour of the suggested method in the presence of small amount of available data in both the cases of white and correlated samples
Keywords :
Gaussian processes; correlation theory; signal processing; Bussgang Gaussianity test; Gaussian process; correlated samples; performance; sign nonlinearity; signal finite segment; stationary series; white samples; Digital signal processing; Frequency domain analysis; Gaussian distribution; Gaussian noise; Gaussian processes; Higher order statistics; Linearity; Noise measurement; Signal processing; Testing;
Conference_Titel :
Higher-Order Statistics, 1997., Proceedings of the IEEE Signal Processing Workshop on
Conference_Location :
Banff, Alta.
Print_ISBN :
0-8186-8005-9
DOI :
10.1109/HOST.1997.613562