Signal Processing for Neuroscientists: An Introduction to the Analysis of Physiological Signals
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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: 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 - An Introduction to the Analysis of Physiological Signals
ISBN: 9780080467757 bzw. 008046775X, in Englisch, Elsevier Reference Monographs, neu, E-Book, elektronischer Download.
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Signal Processing for Neuroscientists
ISBN: 9780080467757 bzw. 008046775X, in Englisch, Pergamon; Pergamon Press, Vereinigte Staaten von Amerika, neu, E-Book, elektronischer Download.
An Introduction to the Analysis of Physiological Signals, An Introduction to the Analysis of Physiological Signals.