Robust least mean mixed norm adaptive filtering for α-stable random processes
Proceedings of the 1997 IEEE International Symposium on Circuits and Systems
2296 - 2299
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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.
Spurious signal noise
Robust least mean mixed norm adaptive algorithm
Robust least mean mixed norm adaptive filtering
Published Version (Please cite this version)https://www.doi.org/10.1109/ISCAS.1997.612781
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