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Signal processing for neuroscientists : introduction to the analysis of physiological signals /

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 i...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Drongelen, Wim van
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Burlington, Mass. : Academic Press, �2007.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario: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.
Descripción Física:1 online resource (ix, 308 pages) : color illustrations
Bibliografía:Includes bibliographical references (pages 297-300) and index.
ISBN:9780123708670
0123708672
008046775X
9780080467757
1280746955
9781280746956
9786610746958
6610746958