Signal Processing for Neuroscientists

1st Edition

An Introduction to the Analysis of Physiological Signals

Print ISBN: 9781493300891
eBook ISBN: 9780080467757
Imprint: Academic Press
Published Date: 13th December 2006
Page Count: 320
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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®. The disk that accompanies this text contains MATLAB® scripts and several data files that serve as an example of the signal processing task at hand.


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© Academic Press 2006
Academic Press
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