Adaptive digital communication receivers

  • Authors:
  • S. Haykin

  • Affiliations:
  • McMaster Univ., Hamilton, Ont., Canada

  • Venue:
  • IEEE Communications Magazine
  • Year:
  • 2000

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Abstract

We present a tutorial review of adaptive signal processing applied to a digital communication receiver operating in a nonstationary environment. The topics covered include feedforward and recurrent neural networks and their applications to communication systems. The article also includes a discussion of turbo decoding, which involves a form of recurrent learning. It concludes with a discussion of the various aspects of adaptive signal processing as they relate to digital communication receivers.