Robust least mean mixed norm adaptive filtering for α-stable random processes
Please cite this item using this persistent URL
http://hdl.handle.net/11693/27713Journal
Proceedings - IEEE International Symposium on Circuits and Systems
Collections
- Conference Paper [2294]
Publisher
IEEE, Piscataway, NJ, United States
Abstract
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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