Title :
Conditions for a correct application of HOS identification algorithms simulation and sampling of third order stationary random processes
Author :
Le Roux, J. ; Rossille, D.
Author_Institution :
Nice Univ., Valbonne, France
Abstract :
The authors propose a method for generating a random sequence that can be interpreted as the sampling of a third order stationary band-limited analog signal corresponding to the hypotheses of Brillinger and Rosenblatt (1967). They emphasise on the difference in the effects of sampling on stationary and nonstationary signals and discuss the condition for a correct application of HOS identification algorithms.
Keywords :
identification; random processes; signal processing; statistical analysis; HOS identification algorithms; higher order statistics; random sequence; sampling; simulation; third order stationary band-limited analog signal; third order stationary random processes; Digital systems; Fourier transforms; Low pass filters; Random processes; Random sequences; Sampling methods; Signal generators; Signal processing; Signal sampling; System identification;
Conference_Titel :
Higher-Order Statistics, 1993., IEEE Signal Processing Workshop on
Conference_Location :
South Lake Tahoe, CA, USA
Print_ISBN :
0-7803-1238-4
DOI :
10.1109/HOST.1993.264604
