Verfügbarkeit: Biological signals classification and analysis

Biological signals classification and analysis:

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Bibliographische Detailangaben
1. Verfasser:	Kiasaleh, Kamran (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Berlin [u.a.] Springer 2015
Schriftenreihe:	Lecture notes in bioengineering
Schlagworte:	Engineering Medicine Computer vision Fourier analysis Biomedical engineering Biomedical Engineering Biomedicine general Signal, Image and Speech Processing Computer Imaging, Vision, Pattern Recognition and Graphics Fourier Analysis Ingenieurwissenschaften Medizin
Online-Zugang:	BHS01 BTU01 FAB01 FAW01 FHA01 FHI01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 UBY01 Volltext Inhaltsverzeichnis Abstract
Beschreibung:	1 Online-Ressource (XI, 380 p. 231 illus., 222 illus. in color)
ISBN:	9783642548796
DOI:	10.1007/978-3-642-54879-6

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Datensatz im Suchindex

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adam_text	BIOLOGICAL SIGNALS CLASSIFICATION AND ANALYSIS / KIASALEH, KAMRAN : 2015 TABLE OF CONTENTS / INHALTSVERZEICHNIS NON-BIOLOGICAL SIGNALS LINEAR AND NONLINEAR SYSTEMS BIOLOGICAL SIGNALS SIGNAL PROCESSING METHODS FOR BIOLOGICAL SIGNALS SIGNAL DECOMPOSITION METHODS REFERENCES AND CONCLUDING REMARKS DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. BIOLOGICAL SIGNALS CLASSIFICATION AND ANALYSIS / KIASALEH, KAMRAN : 2015 ABSTRACT / INHALTSTEXT 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 ONBIOMEDICAL 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 DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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isbn	9783642548796
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series2	Lecture notes in bioengineering
spellingShingle	Kiasaleh, Kamran Biological signals classification and analysis Engineering Medicine Computer vision Fourier analysis Biomedical engineering Biomedical Engineering Biomedicine general Signal, Image and Speech Processing Computer Imaging, Vision, Pattern Recognition and Graphics Fourier Analysis Ingenieurwissenschaften Medizin
title	Biological signals classification and analysis
title_auth	Biological signals classification and analysis
title_exact_search	Biological signals classification and analysis
title_full	Biological signals classification and analysis Kamran Kiasaleh
title_fullStr	Biological signals classification and analysis Kamran Kiasaleh
title_full_unstemmed	Biological signals classification and analysis Kamran Kiasaleh
title_short	Biological signals classification and analysis
title_sort	biological signals classification and analysis
topic	Engineering Medicine Computer vision Fourier analysis Biomedical engineering Biomedical Engineering Biomedicine general Signal, Image and Speech Processing Computer Imaging, Vision, Pattern Recognition and Graphics Fourier Analysis Ingenieurwissenschaften Medizin
topic_facet	Engineering Medicine Computer vision Fourier analysis Biomedical engineering Biomedical Engineering Biomedicine general Signal, Image and Speech Processing Computer Imaging, Vision, Pattern Recognition and Graphics Fourier Analysis Ingenieurwissenschaften Medizin
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