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Signal Processing for Neuroscientists, An Introduction to the Analysis of Physiological Signals
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Bester Preis: € 107,99 (vom 23.01.2021)Signal Processing for Neuroscientists : An Introduction to the Analysis of Physiological Signals
ISBN: 9780080467757 bzw. 008046775X, in Englisch, Elsevier Science, neu, E-Book, elektronischer Download.
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(R).* Multiple color illustrations are integrated in the text * Includes an introduction to biomedical signals, noise characteristics, and recording techniques * Basics and background for more advanced topics can be found in extensive notes and appendices* A Companion Website hosts the MATLAB scripts and several data files: http://www.elsevierdirect.com/companion.jsp?ISBN=9780123708670.
Signal Processing for Neuroscientists: An Introduction to the Analysis of Physiological Signals (2006)
ISBN: 9780080467757 bzw. 008046775X, in Englisch, Elsevier Science, Elsevier Science, Elsevier Science, neu, E-Book, elektronischer Download.
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 text • Includes an introduction to biomedical signals, noise characteristics, and recording techniques • Basics and background for more advanced topics can be found in extensive notes and appendices• A Companion Website hosts the MATLAB scripts and several data files: http://www.elsevierdirect.com/companion.jsp?ISBN=9780123708670.
Signal Processing for Neuroscientists: An Introduction to the Analysis of Physiological Signals
ISBN: 9780080467757 bzw. 008046775X, in Englisch, Elsevier Science, Elsevier Science, Elsevier Science, neu, E-Book, elektronischer Download.
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 text Includes an introduction to biomedical signals, noise characteristics, and recording techniques Basics and background for more advanced topics can be found in extensive notes and appendices A Companion Website hosts the MATLAB scripts and several data files: http://www. elsevierdirect.com/companion. jsp?ISBN=9780123708670.
Signal Processing for Neuroscientists: An Introduction to the Analysis of Physiological Signals (2006)
ISBN: 9780123708670 bzw. 0123708672, in Englisch, 320 Seiten, Academic Press, gebundenes Buch, neu, Erstausgabe.
Von Händler/Antiquariat, Bookbyte Textbooks.
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 text * Includes an introduction to biomedical signals, noise characteristics, and recording techniques * Basics and background for more advanced topics can be found in extensive notes and appendices * A Companion Website hosts the MATLAB scripts and several data files: http://www.elsevierdirect.com/companion.jsp?ISBN=9780123708670, Hardcover, Ausgabe: 1, Label: Academic Press, Academic Press, Produktgruppe: Book, Publiziert: 2006-12-27, Studio: Academic Press, Verkaufsrang: 1039820.
Signal Processing for Neuroscientists: An Introduction to the Analysis of Physiological Signals (2006)
ISBN: 9780080467757 bzw. 008046775X, in Englisch, 320 Seiten, Academic Press, neu, Erstausgabe, E-Book, elektronischer Download.
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: http://www.elsevierdirect.com/companion.jsp?ISBN=9780123708670, Kindle Edition, Edition: 1, Format: Kindle eBook, Label: Academic Press, Academic Press, Product group: eBooks, Published: 2006-12-18, Release date: 2006-12-18, Studio: Academic Press, Sales rank: 1458543.
Signal Processing for Neuroscientists
ISBN: 9780123708670 bzw. 0123708672, in Englisch, Elsevier LTD, Oxford, neu.
Carl Hübscher GmbH, [4514147].
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. Buch.
Signal Processing for Neuroscientists, An Introduction to the Analysis of Physiological Signals (2006)
ISBN: 9781493300891 bzw. 149330089X, vermutlich in Englisch, Academic Press, Taschenbuch, neu.
bol.com.
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 text Includes an introduction to biomedical signals, noise characteristics, and recording techniques Basics and background for more advanced topics can be found in extensive notes and appendices A Companion Website hosts the MATLAB scripts and several data files: http://www.elsevierdirect.com/companion.jsp?ISBN=9780123708670, 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 text Includes an introduction to biomedical signals, noise characteristics, and recording techniques Basics and background for more advanced topics can be found in extensive notes and appendices A Companion Website hosts the MATLAB scripts and several data files: http://www.elsevierdirect.com/companion.jsp?ISBN=9780123708670 Inhoud:Taal: Engels;Bindwijze: Paperback;Verschijningsdatum: december 2006;Afmetingen: 23,5 x 15,7 x 1,9 cm;Aantal pagina's: 320 pagina's;Illustraties: Met illustraties; Betrokkenen:Auteur: Wim van Drongelen | Wim van Drongelen;Co-auteur: Wim van Drongelen;Redacteur: Wim van Drongelen;Uitgever: Academic Press; Vertaling:Originele Titel: Signal Processing for Neuroscientists: An Introduction to the Analysis of Physiological Signals; EAN: Overige kenmerken:Extra groot lettertype: Nee;Gewicht: 0 g;Verpakking breedte: 0 mm;Verpakking hoogte: 0 mm;Verpakking lengte: 0 mm; Engels | Paperback | 9781493300891 | 320 pagina's.
Signal Processing for Neuroscientists - An Introduction to the Analysis of Physiological Signals
ISBN: 9780080467757 bzw. 008046775X, in Englisch, Elsevier Reference Monographs, neu, E-Book, elektronischer Download.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Signal Processing for Neuroscientists
ISBN: 9780123708670 bzw. 0123708672, in Englisch, Elsevier LTD, Oxford, neu.
Sellonnet GmbH, [3225660].
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Signal Processing for Neuroscientists: Introduction to the Analysis of Physiological Signals [With CDROM]
ISBN: 9780123708670 bzw. 0123708672, in Englisch, Academic Press.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen