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Principles of Adaptive Filters and Self-learning Systems

af Anthony Zaknich

indgår i Advanced Textbooks in Control and Signal Processing serien

Principles of Adaptive Filters and Self-learning Systems af Anthony Zaknich
Bag om Principles of Adaptive Filters and Self-learning Systems

How can a signal be processed for which there are few or no a priori data? This text covers Kalman and Wiener filters, neural networks, genetic algorithms and fuzzy logic systems together in a unified treatment. It is useful for one-semester introductory graduate or senior undergraduate courses.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781852339845
  • Indbinding:
  • Paperback
  • Sideantal:
  • 386
  • Udgivet:
  • 25. april 2005
  • Udgave:
  • 2005
  • Størrelse:
  • 155x233x23 mm.
  • Vægt:
  • 1260 g.
  • 8-11 hverdage.
  • 13. december 2024
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Forlænget returret til d. 31. januar 2025

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How can a signal be processed for which there are few or no a priori data? This text covers Kalman and Wiener filters, neural networks, genetic algorithms and fuzzy logic systems together in a unified treatment. It is useful for one-semester introductory graduate or senior undergraduate courses.

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