Title :
Factorizability of complex signals higher (even) order spectra: a necessary and sufficient condition
Author :
Le Roux, Jonathan ; Huet, Cécile
Author_Institution :
Nice Univ., France
Abstract :
This paper presents a necessary and sufficient condition for the factorizability of higher order spectra of complex signals. Such a factorizability condition can be used to test if a complex signal can model the output of a linear and time invariant system driven by a stationary non-Gaussian white input. The condition developed here is based on the symmetries of higher order spectra and on an extension of a formula proposed by Marron et al. (1990) to unwrap third order spectrum phases. It is an identity between the products of six higher order spectra values (which reduces to four values if only phases are considered). Our factorizability test requires no phase unwrapping, unlike existing methods developed in the cepstral domain. Moreover its extension to the N-th order case is direct. Simulations illustrate the deviation to this factorizability condition in a factorizable case (linear system) and a non-factorizable case (non-linear system)
Keywords :
signal processing; spectral analysis; complex signals; even order spectra; factorizability test; higher order spectra; linear system; necessary condition; nonlinear system; simulations; stationary nonGaussian white input; sufficient condition; third order spectrum phases; time invariant system; Cepstrum; Equations; Fourier transforms; Linear systems; Matrix decomposition; Random processes; Sufficient conditions; System testing; Time invariant systems; Tin;
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4428-6
DOI :
10.1109/ICASSP.1998.681608