Signal Processing for Neuroscientists

An Introduction to the Analysis of Physiological Signals

Nonfiction, Health & Well Being, Medical, Specialties, Internal Medicine, Neuroscience, Science & Nature, Science, Biological Sciences, Technology
Cover of the book Signal Processing for Neuroscientists by Wim van Drongelen, Elsevier Science
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Author: Wim van Drongelen ISBN: 9780080467757
Publisher: Elsevier Science Publication: December 18, 2006
Imprint: Academic Press Language: English
Author: Wim van Drongelen
ISBN: 9780080467757
Publisher: Elsevier Science
Publication: December 18, 2006
Imprint: Academic Press
Language: English

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
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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®.

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