Biological Signals Classification and Analysis

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Biological Signals Classification and Analysis
  • Forlagets pris kr. 1.499,95
  • Leveringstid 2-4 uger
  • Forventet levering 27-06-2018
  • Bog, paperback (kr. 1.019,95) (kr. 1.019,95)
    1. Beskrivelse

      Unlike wireless communication systems, biological entities produce signals with underlying nonlinear, chaotic nature that elude classification using the standard signal processing techniques, which have been developed over the past several decades for dealing primarily with standard c... Læs mere

      Udgivelsesdato:
      17-10-2016
      Leveringstid:
      2-4 uger
      Bedømmelse:
      (0)
    2. Yderligere info
      Udgivelsesdato:
      17-10-2016
      Sprog:
      Engelsk
      ISBN13:
      9783662512036
      Sidetal:
      391
      Vægt:
      594
      Højde:
      21
      Bredde:
      155
      Længde:
      235
      Mærkat:
      Bog, paperback
      Format:
      Paperback
      Udgave:
      Softcover reprint of the original 1st ed. 2015
      • Bibliotekernes beskrivelse

        This authored monograph presents key aspects of signal processing analysis in the biomedical arena. Unlike wireless communication systems, biological entities produce signals with underlying nonlinear, chaotic nature that elude classification using the standard signal processing techniques, which have been developed over the past several decades for dealing primarily with standard communication systems. This book separates what is random from that which appears to be random and yet is truly deterministic with random appearance. At its core, this work gives the reader a perspective on biomedical signals and the means to classify and process such signals. In particular, a review of random processes along with means to assess the behavior of random signals is also provided. The book also includes a general discussion of biological signals in order to demonstrate the inefficacy of the well-known techniques to correctly extract meaningful information from such signals. Finally, a thorough discussion of recently proposed signal processing tools and methods for addressing biological signals is included. The target audience primarily comprises researchers and expert practitioners but the book may also be beneficial for graduate students.

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