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      Robust least mean mixed norm adaptive filtering for α-stable random processes

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      Author
      Aydın, Gül
      Tanrıkulu, O.
      Çetin, A. Enis
      Date
      1997
      Source Title
      Proceedings of the 1997 IEEE International Symposium on Circuits and Systems
      Print ISSN
      0271-4310
      Publisher
      IEEE
      Pages
      2296 - 2299
      Language
      English
      Type
      Conference Paper
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      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.
      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
      Permalink
      http://hdl.handle.net/11693/27713
      Published Version (Please cite this version)
      https://www.doi.org/10.1109/ISCAS.1997.612781
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      • Department of Electrical and Electronics Engineering 3524
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