Principles of Adaptive Filters and Self-learning Systems

Released on by Anthony Zaknich
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  • Principles of Adaptive Filters and Self-learning Systems Book Detail

  • Author : Anthony Zaknich
  • Release Date : 2005-04-25
  • Publisher : Springer Science & Business Media
  • Genre : Technology & Engineering
  • Pages : 412
  • ISBN 13 : 9781852339845
  • File Size : 76,76 MB
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Principles of Adaptive Filters and Self-learning Systems by Anthony Zaknich PDF Summary

Book Description: Teaches students about classical and nonclassical adaptive systems within one pair of covers Helps tutors with time-saving course plans, ready-made practical assignments and examination guidance The recently developed "practical sub-space adaptive filter" allows the reader to combine any set of classical and/or non-classical adaptive systems to form a powerful technology for solving complex nonlinear problems

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