Blind identification and array processing applications of generalized higher-order statistics

M.I Gurelli,C.L Nikias

doi:10.1109/milcom.1996.571400

Blind identification and array processing applications of generalized higher-order statistics

M.I Gurelli, C.L Nikias

https://doi.org/10.1109/milcom.1996.571400

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Publication Date: Oct 21, 1996

Citations: 7

Affiliation: University of Southern California, Engineering Systems (United States)

#Blind Identification #Spl Alpha + Show 8 more

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Abstract

Generalized higher-order statistics (GHOS) has been proposed as a possible approach to handle signals which may involve /spl alpha/-stable processes for which traditional higher-order statistics (HOS) can not be applied. Initial research results on GHOS revealed that GHOS may actually be a valuable tool for the analysis and processing of signals which do not contain /spl alpha/-stable processes, as well. In this paper, we will describe some possible applications of GHOS in the areas of blind system identification and array signal processing.

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