@inproceedings{7936000b55b74110bfd0100637a84bb5,
title = "Comparative study of spectral estimation techniques for noisy non-stationary signals with application to EEG data",
abstract = "This paper considers the problem of spectral estimation of noisy non-stationary signals with application to electroencephalogram (EEG) data. Four well known methods for estimating the time-varying spectrum of a non-stationary signal are first reviewed and their performance compared. These methods which work well when the signal-to-noise ratio (SNR) is high, are shown to fail with varying degrees as SNR decreases. A technique for preprocessing noisy EEG data called time-frequency peak filtering (TFPF) is then presented and used to process EEG signals whose spectral content are highly non-stationary and difficult to model. It is shown that marked improvement in spectral estimates result after using the TFPF method.",
author = "M. Roessgen and M. Deriche and B. Boashash",
year = "1993",
language = "English",
isbn = "0818641207",
series = "Conference Record of the Asilomar Conference of Signals, Systems \& Computers",
publisher = "Publ by IEEE",
pages = "1157--1161",
booktitle = "Conference Record of the Asilomar Conference of Signals, Systems \& Computers",
note = "Proceedings of the 27th Asilomar Conference on Signals, Systems \& Computers ; Conference date: 01-11-1993 Through 03-11-1993",
}