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Bog, paperback Biological Signals Classification and Analysis af Kamran Kiasaleh

Biological Signals Classification and Analysis (Lecture Notes in Bioengineering)

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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

Unlike wireless communication systems, biological entities produce signals with underlying nonlinear, chaotic nature that elude classification using t... Læs mere

Produktdetaljer:

Sprog:
Engelsk
ISBN-13:
9783662512036
Sideantal:
391
Udgivet:
17-10-2016
Udgave:
Softcover reprint of the original 1st ed. 2015
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Forlagets 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 communication systems. 222 Illustrations, color; 9 Illustrations, black and white; XI, 380 p. 231 illus., 222 illus. in color.
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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