Notes on EEG Resampling by Natural Cubic Spline Interpolation
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TLDR
The natural cubic spline interpolation procedure is introduced in a discursive fashion for sampling of digitized electroencephalographic data and useful applications include compatibility among diverse hardware and software and the customization of data analysis.Abstract:
Resampling of digitized electroencephalographic data allows changing the sampling rate with minimal distortion of the signal. Useful applications of the procedure include compatibility among diverse hardware and software and the customization of data analysis. The natural cubic spline interpolation procedure is introduced in a discursive fashion. A formal presentation is provided in the appendix.read more
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Peak alpha frequency: an electroencephalographic measure of cognitive preparedness.
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Classification of movement intention by spatially filtered electromagnetic inverse solutions
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Group independent component analysis of resting state EEG in large normative samples
TL;DR: EEG (Electroencephalography) resting state was studied by means of group blind source separation (gBSS), employing a test-retest strategy in two large-sample normative databases, resulting in a new tool that may serve as an adjunct to diagnosis and assessment of abnormal brain functioning and aid in research on normal resting state networks.
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Brain oscillatory activity during spatial navigation: Theta and gamma activity link medial temporal and parietal regions
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On the “Dependence” of “Independent” Group EEG Sources; an EEG Study on Two Large Databases
TL;DR: Using a BSS method in the complex Fourier domain, it is shown that this work can rigourously study the out-of-phase dependence of the extracted components, albeit they are extracted so as to be in-phase independent (by BSS definition).
References
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Book
Time Series: Data Analysis and Theory
TL;DR: This book will be most useful to applied mathematicians, communication engineers, signal processors, statisticians, and time series researchers, both applied and theoretical.
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Introductory Digital Signal Processing with Computer Applications
Paul A. Lynn,Wolfgang Fuerst +1 more
TL;DR: This second edition is being published in response to changes in digital signal processing and includes new material on Random Digital Signals and Random DSP, as well as new and improved software that illustrates the techniques described in the book.
Book
A first course in computational physics
TL;DR: In this paper, the authors discuss different types of computational problems with exercises developed around problems of physical interest, leading students from discussions of elementary problems and simple numerical approaches through derivations of more complex and sophisticated methods.
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