Journal article
Multiple window time-frequency distribution and coherence of EEG using Slepian sequences and Hermite functions
Abstract
Multiple window (MW) time-frequency analysis (TFA) is a newly developed technique to estimate a time-varying spectrum for random nonstationary signals with low bias and variance. In this paper, we describe the application of MW-TFA techniques to electroencephalogram (EEG) and compare the results with those of the conventional spectrogram. We find that the MW-TFA provide us with not only low bias and variance time-frequency (TF) distribution for …
Authors
Xu Y; Haykin S; Racine RJ
Journal
IEEE Transactions on Biomedical Engineering, Vol. 46, No. 7, pp. 861–866
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
July 1999
DOI
10.1109/10.771197
ISSN
0018-9294