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Signal Processing for Neuroscientists: An Introduction to the Analysis of Physiological Signals - Hardcover
Synopsis
Signal Processing for Neuroscientists introduces analysis techniques primarily aimed at neuroscientists and biomedical engineering students with a reasonable but modest background in mathematics, physics, and computer programming. The focus of this text is on what can be considered the ‘golden trio’ in the signal processing field: averaging, Fourier analysis, and filtering. Techniques such as convolution, correlation, coherence, and wavelet analysis are considered in the context of time and frequency...
About the Author
Wim van Drongelen studied Biophysics at the University Leiden, The Netherlands. After a period in the Laboratoire d'Electrophysiologie, Université Claude Bernard, Lyon, France, he received the Doctoral degree cum laude. In 1980 he received the Ph.D. degree.
He worked for the Netherlands Organization for the Advancement of Pure Research (ZWO) in the Department of Animal Physiology, Wageningen, The Netherlands. He lectured and founded a Medical Technology Department...
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- PublisherAcademic Press
- Publication date2006
- ISBN 10 0123708672
- ISBN 13 9780123708670
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages320
- Rating
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Signal Processing for Neuroscientists: An Introduction to the Analysis of Physiological Signals
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Academic Press (edition 1), 2006
ISBN 10: 0123708672
ISBN 13: 9780123708670
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Signal Processing for Neuroscientists: An Introduction to the Analysis of Physiological Signals
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Signal Processing for Neuroscientists
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Signal Processing for Neuroscientists introduces analysis techniques primarily aimed at neuroscientists and biomedical engineering students with a reasonable but modest background in mathematics, physics, and computer programming. The focus of this text is on what can be considered the 'golden trio' in the signal processing field: averaging, Fourier analysis, and filtering. Techniques such as convolution, correlation, coherence, and wavelet analysis are considered in the context of time and frequency domain analysis. The whole spectrum of signal analysis is covered, ranging from data acquisition to data processing; and from the mathematical background of the analysis to the practical application of processing algorithms. Overall, the approach to the mathematics is informal with a focus on basic understanding of the methods and their interrelationships rather than detailed proofs or derivations. One of the principle goals is to provide the reader with the background required to understand the principles of commercially available analyses software, and to allow him/her to construct his/her own analysis tools in an environment such as MATLAB®.Multiple color illustrations are integrated in the textIncludes an introduction to biomedical signals, noise characteristics, and recording techniquesBasics and background for more advanced topics can be found in extensive notes and appendicesA Companion Website hosts the MATLAB scripts and several data files: 320 pp. Englisch. Seller Inventory # 9780123708670
Quantity: 2 available
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Signal Processing for Neuroscientists : An Introduction to the Analysis of Physiological Signals
Print on DemandSeller: AHA-BUCH GmbH, Einbeck, Germany
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Signal Processing for Neuroscientists introduces analysis techniques primarily aimed at neuroscientists and biomedical engineering students with a reasonable but modest background in mathematics, physics, and computer programming. The focus of this text is on what can be considered the 'golden trio' in the signal processing field: averaging, Fourier analysis, and filtering. Techniques such as convolution, correlation, coherence, and wavelet analysis are considered in the context of time and frequency domain analysis. The whole spectrum of signal analysis is covered, ranging from data acquisition to data processing; and from the mathematical background of the analysis to the practical application of processing algorithms. Overall, the approach to the mathematics is informal with a focus on basic understanding of the methods and their interrelationships rather than detailed proofs or derivations. One of the principle goals is to provide the reader with the background required to understand the principles of commercially available analyses software, and to allow him/her to construct his/her own analysis tools in an environment such as MATLAB®.Multiple color illustrations are integrated in the textIncludes an introduction to biomedical signals, noise characteristics, and recording techniquesBasics and background for more advanced topics can be found in extensive notes and appendicesA Companion Website hosts the MATLAB scripts and several data files: Seller Inventory # 9780123708670
Quantity: 2 available