The USC Andrew and Erna Viterbi School of Engineering USC Signal and Image Processing Institute USC Ming Hsieh Department of Electrical Engineering University of Southern California

Technical Report USC-SIPI-295

“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.

To download the report in PDF format click here: USC-SIPI-295.pdf (16.7Mb)