Robust least mean mixed norm adaptive filtering for α-stable random processes
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Date Issued
1997Journal Title
Proceedings - IEEE International Symposium on Circuits and Systems
Publisher
IEEE, Piscataway, NJ, United States
Language
English
Type
Conference Paper
Please cite this item using this persistent URL
http://hdl.handle.net/11693/27713Abstract
Based on the concept of Fractional Lower Order Statistics (FLOS), we present the Robust Least Mean Mixed Norm (RLMMN) adaptive algorithm for applications in impulsive environments modeled by α-stable distributions. A sufficient condition for finite variance of the update term is obtained for the underlying α-stable process. Simulation results are provided regarding the identification of the parameters of an AR system.
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