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      • Department of Electrical and Electronics Engineering
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      Adaptive filtering for non-gaussian stable processes

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      Author
      Arıkan, Orhan
      Çetin, A. Enis
      Erzin, E.
      Date
      1994
      Source Title
      IEEE Signal Processing Letters
      Print ISSN
      1070-9908
      Publisher
      IEEE
      Volume
      1
      Issue
      11
      Pages
      163 - 165
      Language
      English
      Type
      Article
      Item Usage Stats
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      Abstract
      A large class of physical phenomenon observed in practice exhibit non-Gaussian behavior. In this letter, a-stable distributions, which have heavier tails than Gaussian distribution, are considered to model non-Gaussian signals. Adaptive signal processing in the presence of such a noise is a requirement of many practical problems. Since direct application of commonly used adaptation techniques fail in these applications, new algorithms for adaptive filtering for α-stable random processes are introduced.
      Keywords
      Adaptive filtering
      Algorithms
      Digital filters
      Electric network synthesis
      Error compensation
      Optimization
      Probability
      Recursive functions
      Spurious signal noise
      Vectors
      Non Gaussian stable processes
      Probability density function
      Signal processing
      Permalink
      http://hdl.handle.net/11693/25983
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/97.335063
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      • Department of Electrical and Electronics Engineering 3524
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