Robust least mean mixed norm adaptive filtering for α-stable random processes
Date
1997
Authors
Advisor
Instructor
Source Title
Proceedings of the 1997 IEEE International Symposium on Circuits and Systems
Print ISSN
0271-4310
Electronic ISSN
Publisher
IEEE
Volume
Issue
Pages
2296 - 2299
Language
English
Type
Conference Paper
Journal Title
Journal ISSN
Volume Title
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.
Course
Other identifiers
Book Title
Keywords
Adaptive algorithms, Mathematical models, Probability, Random processes, Spurious signal noise, Robust least mean mixed norm adaptive algorithm, Robust least mean mixed norm adaptive filtering, Adaptive filtering