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

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2 Author(s)
M. I. Gurelli ; Signal & Image Process. Inst., Univ. of Southern California, Los Angeles, CA, USA ; C. L. Nikias

Generalized higher-order statistics (GHOS) has been proposed as a possible approach to handle signals which may involve α-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 α-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

Published in:

Military Communications Conference, 1996. MILCOM '96, Conference Proceedings, IEEE  (Volume:3 )

Date of Conference:

21-24 Oct 1996