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Biological Signals Classification and Analysis
Details
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.
Presents key tools and methods Covers a broad spectrum of topics Provides knowledge on unique features of biological signals Written by an expert in the field Includes supplementary material: sn.pub/extras
Inhalt
Non-Biological Signals.- Linear and Nonlinear Systems.- Biological Signals.- Signal Processing Methods for Biological Signals.- Signal Decomposition Methods.- References and Concluding Remarks.
Weitere Informationen
- Allgemeine Informationen
- Sprache Englisch
- Autor Kamran Kiasaleh
- Titel Biological Signals Classification and Analysis
- Veröffentlichung 09.07.2015
- ISBN 3642548784
- Format Fester Einband
- EAN 9783642548789
- Jahr 2015
- Größe H241mm x B160mm x T27mm
- Untertitel Lecture Notes in Bioengineering
- Gewicht 752g
- Auflage 2015
- Genre Medizin
- Lesemotiv Verstehen
- Anzahl Seiten 392
- Herausgeber Springer Berlin Heidelberg
- GTIN 09783642548789