Signal Processing For Neuroscientists

Author: Wim van Drongelen
Publisher: Elsevier
ISBN: 9780080467757
Size: 60.86 MB
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The focus of this text is on what can be considered the ‘golden trio’ in the signal processing field: averaging, Fourier analysis, and filtering.

Signal Processing For Neuroscientists A Companion Volume

Author: Wim van Drongelen
Publisher: Elsevier
ISBN: 0123849160
Size: 53.34 MB
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This book is a companion to the previously published Signal Processing for Neuroscientists: An Introduction to the Analysis of Physiological Signals, which introduced readers to the basic concepts.

Matlab For Neuroscientists

Author: Pascal Wallisch
Publisher: Academic Press
ISBN: 0123838371
Size: 29.39 MB
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Signal Processing for Neuroscientists: An Introduction to the Analysis of
Physiological Signals. Academic Press, Burlington, MA. Hillenbrand, J., Getty,
L.A., Clark, M.J., Wheeler, K., 1995. Acoustic characteristics of American English
vowels. J. Acoust. Soc. Am. 97, 3099À3111. Peterson, G.E., Barney, H.L., 1952.
Control methods used in a study of the vowels. J. Acoust. Soc. Am. 24, 175À184.
Chapter 12 References Van Drongelen, W., 2006. Signal Processing for
Neuroscientists: An ...

Web Application Obfuscation

Author: Mario Heiderich
Publisher: Elsevier
ISBN: 1597496057
Size: 65.41 MB
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This text is based on a course I teach at the University of Chicago for students in
Computational Neuroscience. It is a continuation of the previously published text
Signal Processing for Neuroscientists: An Introduction to the Analysis of
Physiological Signals and includes some of the more advanced topics of linear
and nonlinear systems analysis and multichannel analysis. In the following, it is
assumed that the reader is familiar with the basic concepts that are covered in the
introductory ...

Statistical Signal Processing For Neuroscience And Neurotechnology

Author: Karim G. Oweiss
Publisher: Academic Press
ISBN: 9780080962962
Size: 48.69 MB
Format: PDF, ePub, Docs
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This is a uniquely comprehensive reference that summarizes the state of the art of signal processing theory and techniques for solving emerging problems in neuroscience, and which clearly presents new theory, algorithms, software and ...

Brain Computer Interfacing For Assistive Robotics

Author: Vaibhav Gandhi
Publisher: Academic Press
ISBN: 012801587X
Size: 77.33 MB
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An innovative reference on the brain-computer interface (BCI) and its utility in computational neuroscience and assistive robotics Written for mature and early stage researchers, postgraduate and doctoral students, and computational ...

Fractal Analyses Statistical And Methodological Innovations And Best Practices

Author: John G. Holden
Publisher: Frontiers E-books
ISBN: 2889191389
Size: 56.87 MB
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Introduction to multifractal detrended fluctuation analysis in Matlab Department of
Neuroscience, Norwegian University of Science and Technology, Trondheim,
Norway Fractal structures are found in biomedical time series from a wide range
of physiological phenomena. ... tnu. no INTRODUCTION The structural
characteristics of biomedical signals are often visu— ally apparent, but not
captured by conventional measures like the average amplitude of the signal.
Biomedical signals ...

Wavelets In Neuroscience

Author: Alexander E. Hramov
Publisher: Springer
ISBN: 366243850X
Size: 50.73 MB
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Introduction. As already mentioned in Chap. 1, wavelet analysis constitutes a
powerful tool for studying the nonstationary dynamics of nonlinear systems.
Although it arose not so long ago [1–3], researchers are already widely using
wavelets in ... digital signal processing. Over the past few decades, wavelet
analysis has been widely considered as an interdisciplinary technique. One of
the most impressive examples of such interdisciplinary cooperation is the
application of wavelets to ...

Modern Techniques In Neuroscience Research

Author: Uwe Windhorst
Publisher: Springer Science & Business Media
ISBN: 9783540644606
Size: 43.11 MB
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Decomposition. and. Analysis. of. Intramuscular. Electromyographic. Signals.
CARLO J. DE LUCA and ALEXANDER ADAM a Introduction The clinical
community has long shown interest in the concept of extracting as many motor
unit action potentials (MUAPs) as possible from an intramuscular electromyo-
graphic (EMG) signal. Adrian and Bronk (1929) developed the first concentric
needle electrode to identify both shape and firing rate of the MUAPs. Subsequent
manual approaches ...