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“Blind Equalization and Array Signal Processing Applications of Generalized Higher-Order Statistics (GHOS)”
by Mehmet I. Gürelli and Chrysostomos L. Nikias
March 1996
Generalized higher-order statistics (GHOS) has been proposed as a possible approach to handle signals which may involve _-stable distributions for which traditional higher-order statistics (HOS) can not be applied. The first several months of research on GHOS revealed that GHOS may actually be a valuable tool for the analysis and processing of signals which do not contain _-stable processes, as well. In this report, we will describe some possible applications of GHOS in the areas of blind equalization and array signal processing in the presence of signals with finite variance.