Fourier Uniformity: An Useful Tool for Analyzing EEG Signals with An Application to Source Localization
Neurons and Cognition
2009-04-30 v1 Quantitative Methods
Abstract
If two signals are phase synchronous then the respective Fourier component at each spectral band should exhibit certain properties. In a pair of artificially generated phase synchronous signals the phase difference at each frequency band changes very slowly over the subsequent frequency bands. This has been called Fourier uniformity in this paper and a measure of it has been proposed. An usefulness of this measure has been outlined in the case of cortical source localization of scalp EEG.
Cite
@article{arxiv.0904.4499,
title = {Fourier Uniformity: An Useful Tool for Analyzing EEG Signals with An Application to Source Localization},
author = {Kaushik Majumdar},
journal= {arXiv preprint arXiv:0904.4499},
year = {2009}
}
Comments
Accepted for oral presententation in the International Joint Conference of Neural Networks 2009, Atlanta, USA. It will not be included in the proceedings for the author's inability to attend the conference